掌桥科研
跨库:
单库:

您现在的位置:首页>外文会议>会议详情

会议信息

会议名称:

International Work-Conference on Bioinformatics and Biomedical Engineering

召开年:

2017

召开地:

Granada

会议文集:

Bioinformatics and Biomedical Engineering: 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26-28, 2017, Proceedings

主办单位:

Universidad de Granada

出版时间:

-
全选 (0)
214条结果 1/11
  • 题名 作者 来源 发表时间 操作
  • Know-GRRF: Domain-Knowledge Informed Biomarker Discovery with Random Forests

    作者:Xin Guan;Li Liu; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    Due to its robustness and built-in feature selection capability, random forest is frequently employed in omics studies for biomarker discovery and predictive modeling. However, random forest assumes equal importance of all features, while in reality domain knowledge may justify the prioritization of more relevant features. Furthermore, it has been shown that an antecedent feature selection step can improve the performance of random forest by reducing noises and search space. In this paper, we present a novel Know-guided regularized random forest (Know-GRRF) method that incorporates domain knowledge in a random forest framework for feature selection. Via rigorous simulations, we show that Know-GRRF outperforms existing methods by correctly identifying informative features and improving the accuracy of subsequent predictive models. Know-GRRF is responsive to a wide range of tuning parameters that help to better differentiate candidate features. Know-GRRF is also stable from run to run, making it robust to noises. We further proved that Know-GRRF is a generalized form of existing methods, RRF and GRRF. We applied Known-GRRF to a real world radiation biodosimetry study that uses non-human primate data to discover biomarkers for human applications. By using cross-species correlation as domain knowledge, Know-GRRF was able to identify three gene markers that significantly improved the cross-species prediction accuracy. We implemented Know-GRRF as an R package that is available through the CRAN archive.

    关键字:Biomarker discovery; Domain knowledge; Feature selection Regularized random forest

  • Know-GRRF: Domain-Knowledge Informed Biomarker Discovery with Random Forests

    Xin Guan;Li Liu;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • Sampling Defective Pathways in Phenotype Prediction Problems via the Holdout Sampler

    作者:Juan Luis Fernandez-Martinez;Ana Cernea;Enrique J. deAndres-Galiana;Francisco Javier Fernandez-Ovies;Zulima Femandez-Muniz;Oscar Alvarez-Machancoses;Leorey Saligan;Stephen T. Sonis; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    In this paper, we introduce the holdout sampler to find the defective pathways in high underdetermined phenotype prediction problems. This sampling algorithm is inspired by the bootstrapping procedure used in regression analysis to established confidence bounds. We show that working with partial information (data bags) serves to sample the linear uncertainty region in a simple regression problem, mainly along the axis of greatest uncertainty that corresponds to the smallest singular value of the system matrix. This procedure applied to a phenotype prediction problem, considered as a generalized prediction problem between the set of genetic signatures and the set of classes in which the phenotype is divided, serves to unravel the ensemble of altered pathways in the transcriptome that are involved in the disease development The algorithm looks for the minimum-scale genetic signature in each random holdout and the likelihood (predictive accuracy) is established using the validation dataset via a nearest-neighbor classifier. The posterior analysis serves to identify the header genes that most-frequently appear in the different hold-outs and are therefore robust to a partial lack of samples. These genes are used to establish the genetic pathways and the biological processes involved in the disease progression. This algorithm is much faster, robust and simpler than Bayesian Networks. We show its application to a microarray dataset concerning a type of breast cancers with poor prognoses (TNBC).

    关键字:

  • Sampling Defective Pathways in Phenotype Prediction Problems via the Holdout Sampler

    Juan Luis Fernandez-Martinez;Ana Cernea;Enrique J. deAndres-Galiana;Francisco Javier Fernandez-Ovies;Zulima Femandez-Muniz;Oscar Alvarez-Machancoses;Leorey Saligan;Stephen T. Sonis;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • Composite Piezoelectric Material for Biomedical Micro Hydraulic System

    作者:Arvydas Palevicius;Giedrius Janusas;Elingas Cekas;YatinkumarRajeshbhai Patel; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    'Lab-on-a-chip' is integrated micro-analytical system, which could perform sample pre-treatment, chemical reactions, analytical separation, detection and data handling. These platforms are able to convert biological, chemical or mechanical responses into electrical signals using the piezoelectric or piezoresistive materials. This paper discusses a piezoelectric composite material displaying its mechanical properties such as resonant frequencies, Young's modulus and density. Nano composite polymer highlights the property of piezo effect and is suitable for formation of periodic micro scale patterns on it. These micro patterns are intended to be used as innovative functional elements in biomedical micro hydro mechanical systems such as micro channels. Thus by controlling surface configuration and the shape of active deformable polymer, pressure in microfluidic vessels can be changed and mobility of the transported bioparticles can be ensured.

    关键字:Piezoelectric composite; Micro hydrolic system; Microchanel Bioparticals

  • Composite Piezoelectric Material for Biomedical Micro Hydraulic System

    Arvydas Palevicius;Giedrius Janusas;Elingas Cekas;YatinkumarRajeshbhai Patel;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • Feet Fidgeting Detection Based on Accelerometers Using Decision Tree Learning and Gradient Boosting

    作者:Julien Esseiva;Maurizio Caon;Elena Mugellini;Omar Abou Khaled;Kamiar Aminian; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    Detection of fidgeting activities is a field which has not been much explored as of now. Studies have shown that fidgeting has a beneficial impact on people's healthiness as it burns a significant amount of energy. Being able to detect when someone is fidgeting would allow to study more closely the health impact of fidgeting. The purpose of this work is to propose an algorithm being able to detect feet fidgeting period of subjects while sitting using 3-D accelerometers on both shoes. Initial results on data from 5 subjects collected during this work shows an accuracy of 95% for a classification between sitting with fidgeting and sitting without fidgeting.

    关键字:Fidgeting detection; Decision tree; Boosting; Accelerometers Footwear; Wearable; Machine learning

  • Feet Fidgeting Detection Based on Accelerometers Using Decision Tree Learning and Gradient Boosting

    Julien Esseiva;Maurizio Caon;Elena Mugellini;Omar Abou Khaled;Kamiar Aminian;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • Using Orientation Sensors to Control a FES System for Upper-Limb Motor Rehabilitation

    作者:Andres F. Ruiz-Olaya;Alberto Lopez-Delis;Adson Ferreira da Rocha; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    Contralaterally controlled functional electrical stimulation (CCFES) is a recent therapy aimed at improving the recovery of impaired limbs after stroke. For hemiplegic patients, CCFES uses a control signal from the non-impaired side of the body to regulate the intensity of electrical stimulation delivered to the affected muscles of the homologous limb on the opposite side of the body. CCFES permits an artificial muscular contraction synchronized with the patient's intentionality to carry out functional tasks, which is a way to enhance neuroplasticity and to promote motor learning. This work presents an upper extremity motor rehabilitation system based on CCFES, using orientation sensors for control. Thus, the stimulation intensity (current amplitude) delivered to the paretic extremity is proportional to the degree of joint amplitude of the unaffected extremity. The implemented controller uses a control strategy that allows the delivered electrical stimulation intensity, to be comparable to the magnitude of movement. It was carried out a set of experiments to validate the overall system, for executing five bilateral mirror movements that include human wrist and elbow joints. Obtained results showed that movements voluntary signals acquired from right upper-limb were replicated successfully on left upper-limb using the FES system.

    关键字:Motor rehabilitation; Joint angle estimation; Orientation sensors Contralaterally controlled functional electrical stimulation

  • Using Orientation Sensors to Control a FES System for Upper-Limb Motor Rehabilitation

    Andres F. Ruiz-Olaya;Alberto Lopez-Delis;Adson Ferreira da Rocha;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • Augmented Visualization and Touchless Interaction with Virtual Organs

    作者:Lucio Tommaso De Paolis; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    The actual trend in surgery is the transition from open procedures to minimally invasive interventions and revolutionary changes in computer-aided surgery have been obtained thanks to the introduction of the augmented reality technology that can support the doctor during the surgery. A realistic three-dimensional visualization of the patient's organs can be obtained by means of specific algorithms of segmentation and classification of medical images and advanced modalities of touchless interaction and innovative gesture-control devices permit surgeon to have a natural and simple way of fruition of the patient's data preserving the surgical environment from the danger of contamination.

    关键字:Touchless interaction; Computer aided surgery Interactive 3D modelling; Augmented reality

  • Augmented Visualization and Touchless Interaction with Virtual Organs

    Lucio Tommaso De Paolis;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • On the Use of Decision Trees Based on Diagnosis and Drug Codes for Analyzing Chronic Patients

    作者:Cristina Soguero-Ruiz;Ana Alberca Diaz-Plaza;Pablo de Miguel Bohoyo;Javier Ramos-Lopez;Manuel Rubio-Sanchez;Alberto Sanchez;Inmaculada Mora-Jimenez; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    Diabetes mellitus (DM) and essential hypertension (EH) are chronic diseases more prevalent every year, both independently and jointly. To gain insights about the particularities of these chronic conditions, we study the use of decision trees as a tool for selecting discriminative features and making predictive analyses of the health status of this kind of chronic patients. We considered gender, age, ICD9 codes for diagnosis and ATC codes for drugs associated with the diabetic and/or hypertensive population linked to the University Hospital of Fuenlabrada (Madrid, Spain) during 2012. Results show a relationship among DM/EH and diseases/drugs related to the respiratory system, mental disorders, or the musculoskeletal system. We conclude that drugs are quite informative, collecting information about the disease when the diagnosis code is not registered. Regarding predictive analyses, when discriminating patients with EH-DM and just one of these chronic conditions, better accuracy is obtained for EH (85.4%) versus DM (80.1%).

    关键字:Chronic health status; Diabetes; Hypertension Feature selection; Decision trees; Diagnoses; Drugs

  • On the Use of Decision Trees Based on Diagnosis and Drug Codes for Analyzing Chronic Patients

    Cristina Soguero-Ruiz;Ana Alberca Diaz-Plaza;Pablo de Miguel Bohoyo;Javier Ramos-Lopez;Manuel Rubio-Sanchez;Alberto Sanchez;Inmaculada Mora-Jimenez;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • Detection Methods of Static Microscopic Objects

    作者:Libor Hargas;Zuzana Loncova;Dusan Koniar;Frantisek Jabloncik;Jozef Volak; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    The article deals with selected methods of automated detection of microscopic objects in video sequences obtained by high-speed cinematography and light microscopy. The objects of interest are represented by cilia of airways and also artefact generating objects (gas bubbles and erythrocytes). The main idea of this work is to create complex diagnostic tool for evaluation of ciliated epithelium in airways, where the ratio between moving and static cilia helps to search proper diagnosis (confirmation of PCD - primary ciliary dyskinesia). Methods for automated segmentation of static cilia creates a big challenge for image analysis against the dynamic ones due to character and parameters of obtained images. This work is supported by medical specialists from Jessenius Faculty of Medicine in Martin (Slovakia) and proposed tools would fill the gap in the diagnostics in the field of respirology in Slovakia.

    关键字:Cilia; Image segmentation; Classification

  • Detection Methods of Static Microscopic Objects

    Libor Hargas;Zuzana Loncova;Dusan Koniar;Frantisek Jabloncik;Jozef Volak;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • Parkinson's Disease Database Analysis of Stereotactic Coordinates Related to Clinical Outcomes

    作者:Francisco Estella;Esther Suarez;Beatriz Lozano;Elena Santamarta;Antonio Saiz;Fernando Rojas;Ignacio Rojas;Fernando Seijo; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    Parkinson's Disease is one of the leading movement disorder diseases. It is the fourth most common neurological disease, after migraine, stroke and epilepsy. The motor symptoms of the disease significantly impair daily living and quality of life and exact a high burden on both patients and their caregivers. Deep Brain Stimulation is a proven therapy for this disease, getting positive outcomes while reducing medication. In this paper, stereotactic system used for Deep Brain Stimulation (DBS) procedures will be described. Different planning methods will be observed and compared to the gold standard normally used, neurophysiological coordinates recorded intra-operatively. MRI, CT scan and direct calculation of stereotactic coordinates will be compared and group in three different groups, according to DBS therapy outcomes: "very good DBS therapy", "good DBS therapy" and "not major improvement". Database of 72 DBS electrodes implanted in Parkinson's Disease patients will be studied. Most potentially beneficial ranges of deviation within planning and neurophysiological coordinates from the operating room will be assessed, in order to provide neurosurgeons with more landmarks in order to achieve the best outcomes within a millimetric technique. We could confirm three main highlights out of this study: the neurophysiological length of the Subthalamic Nucleus does not play a major role in outcomes while being within normal range; CT scan calculations were the most accurate; direct calculations should not be used as major deviations were observed.

    关键字:Parkinson's disease; Deep brain stimulation Movement disorders; Decision tree; Stereotactic coordinates

  • Parkinson's Disease Database Analysis of Stereotactic Coordinates Related to Clinical Outcomes

    Francisco Estella;Esther Suarez;Beatriz Lozano;Elena Santamarta;Antonio Saiz;Fernando Rojas;Ignacio Rojas;Fernando Seijo;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • A Texture Analysis Approach for Spine Metastasis Classification in T1 and T2 MRI

    作者:Mohamed Amine Larhmam;Saied Mahmoudi;Stylianos Drisis;Mohammed Benjelloun; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    This paper presents a learning based approach for the classification of pathological vertebrae. The proposed method is applied to spine metastasis, a malignant tumor that develops inside bones and requires a rapid diagnosis for an effective treatment monitoring. We used multiple texture analysis techniques to extract useful features from two co-registered MR images sequences (T1, T2). These MRIs are part of a diagnostic protocol for vertebral metastases follow up. We adopted a slice by slice MRI analysis of 153 vertebra region of interest. Our method achieved a classification accuracy of 90.17% ± 5.49, using only a subset of 67 relevant selected features from the initial 142.

    关键字:MRI; Machine learning; Texture analysis; GLCM; LBP

  • A Texture Analysis Approach for Spine Metastasis Classification in T1 and T2 MRI

    Mohamed Amine Larhmam;Saied Mahmoudi;Stylianos Drisis;Mohammed Benjelloun;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • FLIR vs SEEK in Biomedical Applications of Infrared Thermography

    作者:Ayca Kirimtat;Ondrej Krejcar; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    This article aims to compare the results of two different infrared cameras through revealing the irregular temperature distribution on an injured toe. Since the inhomogeneous body temperature is the key indicator of severe injuries, wounds, and illnesses, infrared thermography is the strongest method among other conventional methods to map the skin temperature variations. The current utility of infrared cameras in biomedical applications is also presented to comprehend the relationship between the nature of thermal radiation and human body temperature. In the article, the presented biomedical applications include skin cancer screening, wound detection in a diabetic foot, muscle activation assessment during an exercise, or thermal mapping of healthy human bodies. Along with the developments in infrared thermography, this article focuses on analyzing temperature distribution on the injured toe of a subject with two different smartphone-based infrared camera models namely FLIR One and SEEK Compact Pro. In addition, the results obtained from the presented infrared camera models are compared regarding to the thermal images of the injured toe.

    关键字:Infrared thermography; Biomedicine; Thermal camera FLIR; SEEK

  • FLIR vs SEEK in Biomedical Applications of Infrared Thermography

    Ayca Kirimtat;Ondrej Krejcar;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • Thermal Imaging for Localization of Anterior Forearm Subcutaneous Veins

    作者:Orcan Alpar;Ondrej Krejcar; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    The anterior forearm recognition systems are very popular identify the subcutaneous veins, mostly by devices operating real-time. Real time projection systems are carried out by handheld devices with a near infrared (NIR) camera and a laser projector to choose venipuncture sites; however what we propose in this paper is an easier and more reliable way using infrared thermal (IR-T) camera. At the forearm some veins like Cephalic vein are mostly so concealed to detect by NIR cameras, therefore we propose an alternative method for localization of the whole vein system without preprocessing. Briefly in the thermograms, the forearm is segmented from the surrounding by crisp 2-means and the vein system is reconstructed on blank images by directional curvature method. All directional curvatures are combined by addition for merging the layers and highlighting mutual veins. The preliminary results are promising since all the vein system is revealed with invisible veins without any preprocessing.

    关键字:Thermal imaging; Forearm veins; Directional curvature Crisp 2- means; Localization; Segmentation

  • Thermal Imaging for Localization of Anterior Forearm Subcutaneous Veins

    Orcan Alpar;Ondrej Krejcar;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • Medical Image Classification with Hand-Designed or Machine-Designed Texture Descriptors: A Performance Evaluation

    作者:Joke A. Badejo;Emmanuel Adetiba;Adekunle Akinrinmade;Matthew B. Akanle; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    Accurate diagnosis and early detection of various disease conditions are key to improving living conditions in any community. The existing framework for medical image classification depends largely on advanced digital image processing and machine (deep) learning techniques for significant improvement. In this paper, the performance of traditional hand-designed texture descriptors within the image-based learning paradigm is evaluated in comparison with machine-designed descriptors (extracted from pre-trained Convolution Neural Networks). Performance is evaluated, with respect to speed, accuracy and storage requirements, based on four popular medical image datasets. The experiments reveal an increased accuracy with machine-designed descriptors in most cases, though at a higher computational cost. It is therefore necessary to consider other parameters for tradeoff depending on the application being considered.

    关键字:Medical image classification; Deep learning Convolution Neural Network; Texture descriptors

  • Medical Image Classification with Hand-Designed or Machine-Designed Texture Descriptors: A Performance Evaluation

    Joke A. Badejo;Emmanuel Adetiba;Adekunle Akinrinmade;Matthew B. Akanle;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • New Parameter Available in Phonocardiogram for Blood Pressure Estimation

    作者:Omari Tahar;Ouacif Nadia;Benali Redouane;Dib Nabil;Bereksi-Reguig Fethi; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    Continuous and non-invasive measurement of blood pressure (BP) is of great importance. To achieve continuous and cuffless BP monitoring, pulse transit time (PTT) has been reported as a potential parameter. Nevertheless, this approach remains very sensitive, cumbersome and disagreeable for patients. This study proposes a new parameter available in phonocardiogram (PCG) to measure blood pressure. The PCG is processed and analyzed in order to measure the systolic and diastolic durations in order to study their correlation with an estimated PTT. The proposed approach evaluated on a developed data base of 37 subjects shows linear regression of two classes in distribution of diastolic duration with PTT estimated. Where, a good correlation coefficient is found for each class (class1: R = 0.87, class2: R = 0.85. This technic has significant potential to develop a new approach to measure blood pressure using PCG signal.

    关键字:Blood pressure; Pulse transit time; PPG signal PCG signal; Diastolic duration

  • New Parameter Available in Phonocardiogram for Blood Pressure Estimation

    Omari Tahar;Ouacif Nadia;Benali Redouane;Dib Nabil;Bereksi-Reguig Fethi;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • Reconstruction of Equivalent Electrical Sources on Heart Surface

    作者:Galina V. Zhikhareva;Mikhail N. Kramm;Oleg N. Bodin;Ralf Seepold;Anton I. Chernikov;Yana A. Kupriyanova;Natalija A. Zhuravleva; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    We consider the problem of increasing the informative value of electrocardiographic (ECG) surveys using data from multichannel electrocardiographic leads, that include both recorded electrocardiosignals and the coordinates of the electrodes placed on the surface of the human torso. In this area, we were interested in reconstruction of the surface distribution of the equivalent sources during the cardiac cycle at relatively low hardware cost. In our work, we propose to reconstruct the equivalent electrical sources by numerical methods, based on integral connection between the density of electrical sources and potential in a conductive medium. We consider maps of distributions of equivalent electric sources on the heart surface (HSSM), presenting source distributions in the form of a simple or double electrical layer. We indicate the dynamics of the heart electrical activity by the space-time mapping of equivalent electrical sources in HSSM.

    关键字:Multichannel; Electrocardiographic leads; Torso Heart; Electric potential; Reconstruction; Equivalent electric sources; Maps of distributions

  • Reconstruction of Equivalent Electrical Sources on Heart Surface

    Galina V. Zhikhareva;Mikhail N. Kramm;Oleg N. Bodin;Ralf Seepold;Anton I. Chernikov;Yana A. Kupriyanova;Natalija A. Zhuravleva;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • A Review of Health Monitoring Systems Using Sensors on Bed or Cushion

    作者:Massimo Conti;Simone Orcioni;Natividad Martinez Madrid;Maksym Gaiduk;Ralf Seepold; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    How technology can answer the challenge that currently population ageing is facing to the healthcare system? In this work, systems and devices related to "smart" bed and cushion, that are commercially available or matter of research works, are reviewed.

    关键字:Smart bed; Smart cushion; Population ageing; Smart-care

  • A Review of Health Monitoring Systems Using Sensors on Bed or Cushion

    Massimo Conti;Simone Orcioni;Natividad Martinez Madrid;Maksym Gaiduk;Ralf Seepold;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • Sensor-Mesh-Based System with Application on Sleep Study

    作者:Maksym Gaiduk;Bruno Vunderl;Ralf Seepold;Juan Antonio Ortega;Thomas Penzel; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    The process of restoring our body and brain from fatigue is directly depending on the quality of sleep. It can be determined from the report of the sleep study results. Classification of sleep stages is the first step of this study and this includes the measurement of biovital data and its further processing. In this work, the sleep analysis system is based on a hardware sensor net, namely a grid of 24 pressure sensors, supporting sleep phase recognition. In comparison to the leading standard, which is polysomnography, the proposed approach is a non-invasive system. It recognises respiration and body movement with only one type of low-cost pressure sensors forming a mesh architecture. The nodes implement as a series of pressure sensors connected to a low-power and performant microcontroller. All nodes are connected via a system wide bus with address arbitration. The embedded processor is the mesh network endpoint that enables network configuration, storing and pre-processing of the data, external data access and visualization. The system was tested by executing experiments recording the sleep of different healthy young subjects. The results obtained have indicated the potential to detect breathing rate and body movement. A major difference of this system in comparison to other approaches is the innovative way to place the sensors under the mattress. This characteristic facilitates the continuous using of the system without any influence on the common sleep process.

    关键字:Movement detection; Respiration rate; Sleep study FSR sensor

  • Sensor-Mesh-Based System with Application on Sleep Study

    Maksym Gaiduk;Bruno Vunderl;Ralf Seepold;Juan Antonio Ortega;Thomas Penzel;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • Gene-Gene Interaction Analysis: Correlation, Relative Entropy and Rough Set Theory Based Approach

    作者:Sujay Saha;Sukriti Roy;Anupam Ghosh;Kashi Nath Dey; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    Logical interaction between every pair of genes in a gene interaction network affects the observable behavior of any organism. This genetic interaction helps us to identify pathways of associated genes for various diseases and also finds the level of interaction between the genes in the network. In this paper, at first we have used three correlation measures, like Pearson, Spearman and Kendall-Tau to find the interaction level in a gene interaction network. Rough set can also be used to find the level of interaction, as well as direction of interaction between every pair of genes. That's why in the second phase of the experiment, entropy measure & Rough set theory are also used to determine the level of interaction between every pair of genes as well as finds the direction of interaction that indicates which gene regulates which other genes. Experiments are done on normal & diseased samples of Colorectal Cancer dataset (GDS4382) separately. At the end we try to find out those interactions responsible for this cancer disease to take place. To validate the experimental results biologically we compare it with interactions given in NCBI database.

    关键字:Gene - gene interaction; Correlation; Entropy; Rough sets DNA microarray; Colorectal cancer

  • Gene-Gene Interaction Analysis: Correlation, Relative Entropy and Rough Set Theory Based Approach

    Sujay Saha;Sukriti Roy;Anupam Ghosh;Kashi Nath Dey;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • A Transferable Belief Model Decision Support Tool over Complementary Clinical Conditions

    作者:Abderraouf Hadj Henni;David Pasquier;Nacim Betrouni; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    This paper presents an algorithm for decision support over two complementary clinical conditions given a large features data base. The algorithm is mainly divided in two parts, the first one aims at identifying relevant features from a large dimension data base using a heuristic method based on a discriminating power. The second part is a tool based on the Transferable Belief Model (TBM) which combines information extracted from the selected features to provide decision results with probabilities along with a result's consistency measure so that decision could be made carefully. The proposed algorithm is tested on a downloaded feature data base. The TBM based decision support tool showed consistent results w.r.t provided outcomes by combining data from two relevant features identified after using the heuristic feature ranking method.

    关键字:Belief functions; Transferable Belief Model Decision support; Bio marker identification; Data fusion

  • A Transferable Belief Model Decision Support Tool over Complementary Clinical Conditions

    Abderraouf Hadj Henni;David Pasquier;Nacim Betrouni;

    International work-conference on bioinformatics and biomedical engineering

    2018年

  • Modeling Spread of Infectious Diseases at the Arrival Stage of Hajj

    作者:Sultanah M. Alshammari;Armin R. Mikler; 会议名称:International work-conference on bioinformatics and biomedical engineering 2018年

    During the 2009 H1N1 influenza pandemic, there was rising concern about the potential contribution of international travel and global mass gatherings on the dynamic of the virus. The travel patterns after global mass gatherings can cause a rapid spread of infections. Studying the impact of travel patterns, high population density, and social mixing on disease transmission in these events could help public health authorities assess the risk of global epidemics and evaluate various prevention measures. There have been many studies on computational modeling of epidemic spread in various settings, but few of them address global mass gatherings. In this paper, we develop a stochastic susceptible-exposed-infected-recovered agent-based model to predict early stage of a disease epidemic among international participants in the annual Hajj or pilgrimage to Makkah (also called Mecca). The epidemic model is used to explore several scenarios with initial reproduction number R0 range from 1.3 to 1.7, and various initial proportions of infections range from 0.5% to 1% of total arriving pilgrims. Following an epidemic with one infectious per flight, the model results predict an average of 30% infectious and 20% exposed individuals in Makkah by the end of the arrival period. The proposed model can be used to assess various intervention measures during the arrival of international participants to control potential epidemics in different global mass gatherings.

    关键字:Global mass gatherings; Disease control; Infectious diseases; Epidemic; Outbreak; Agent-based model; Hajj

  • Modeling Spread of Infectious Diseases at the Arrival Stage of Hajj

    Sultanah M. Alshammari;Armin R. Mikler;

    International work-conference on bioinformatics and biomedical engineering

    2018年

服务协议

服务协议


掌桥科研助手微信平台(简称“本平台”)外文文献服务的所有权和运营权归属六维联合信息科技(北京)有限公司(简称“六维联合”)。在购买本平台外文文献服务前,请您仔细阅读本服务协议的如下全部内容,以便您决定是否继续购买本平台的服务,您的继续购买行为即表示您已经完全理解并接受本服务协议,并同意受其约束。若您不同意本服务协议,请勿购买本平台的服务。

1.服务说明

(1)要成为系统服务用户必须自行配备上网的所需设备,包括个人微信使用终端、调制解调器或其他必备上网装置,并自行负担个人上网所支付的与此服务有关的网络费用;

(2)用户应向本平台上提供单位名称、姓名、电子邮箱、手机号码,通过手机验证后才能收到外文文献电子邮件;

(3)除按照国家法律法规、第三方(本服务中指国家工程技术图书馆)和本服务要求提供用户的个人资料外,本平台不额外要求用户提供个人隐私信息;

(4)外文文献一经购买,无论用户是否实际使用,不得退款;

(5)外文文献原文是由国家工程技术图书馆负责提供。

2.合理使用

根据相关法律规定,本平台及其所提供的外文期刊、外文会议、外文学位论文和外文科技报告文献仅供购买服务的用户(即授权用户)为个人目的或课堂教学目的使用,授权用户可以对本平台的文献进行以下合理使用:

(1)通过安全网络访问服务器对网络数据库进行检索;

(2)以个人研究和学习为目的,在线阅读检索结果;

(3)通过文献传递获取电子文献供授权用户个人研究和学习使用;

(4)非以商业营利为目的承担正常教学任务的授权用户,为教学需要,可少量复制文献供教学人员使用,同时应指明作者姓名和文献名称。例如授权用户可少量复制作为教学参考资料的文献供从事课堂教授的教师使用,可少量文献复制到供本单位教学使用的内部网络中的安全计算机上,供选修特定课程的学生在该课程课堂教学期间和地点通过内部网络进行阅读。

3.侵权行为

除上述合理使用方式外,不得以任何方式对本平台全部或者部分文献进行复制、出版、发行、传播、转让、商业或其他开发,授权用户以下(但不仅限于以下)超出合理使用范围的行为,属侵犯知识产权行为,须严格禁止:

(1)把外文文献以公共方式提供给非授权用户使用;

(2)利用外文文献对非授权用户提供文献服务;

(3)利用外文文献进行商业服务或支持商业服务;

(4)利用外文文献内容汇编生成二次产品,提供公共或商业服务;

(5)将外文文献使用在任何其他网站或计算机联网环境中,包括但不仅限于在国际互联网和万维网站上。

4.侵权责任

授权用户应在法律规定的其超出合理使用范围内使用本平台提供的文献,若因授权用户的侵权使用行为被相关权利人主张权利而产生任何纠纷、仲裁、诉讼,或遭到国家相关部门处理,由授权用户承担全部法律责任并使本平台方免责,授权用户还应赔偿因上述原因给本平台方造成的全部直接和间接损失,包括但不限于律师费用、诉讼及仲裁费用、财务费用及差旅费等。一经发现用户的使用情况超出著作权法规定的合理使用范围,本平台有权立即封禁该用户的服务账户,并有权终止向用户提供本协议约定的服务而无须承担违约责任。

5.免责声明

(1)本平台仅为根据您的搜索指令提供搜索服务、数据链接服务和电子邮件原文传递服务,搜索结果和原文数据均来自第三方网站,六维联合不会对第三方网站内容作任何实质性的编辑、整理、修改;

(2)本平台对服务及服务所涉文献信息不作任何明示或暗示的保证,包括但不限于服务一定会满足用户的使用要求、服务的及时性、持续性、安全性、准确性以及服务所涉及文献的准确性、完整行、可靠性;

(3)本平台不保证所提供的服务和服务所涉文献信息来源客观准确,对于任何因信赖或使用获取的文献信息,而给用户造成任何直接或间接损失,本平台均不承担责任;本平台不因用户与任何第三方产生的争议或诉讼承担任何责任。

(4)用户签署本协议即意味着理解且不要求六维联合在发生不可抗力情况下承担责任。不可抗力是指不能合理控制、不可预见或即使预见亦无法避免的事件,包括但不限于政府行为、地震、台风、洪水、火灾或其它天灾、战争或任何其它类似事件。鉴于互联网之特殊性质,不可抗力还包含非因本平台原因导致本服务无法正常运行、服务中断或延迟的情形,包括黑客攻击,电信部门技术调整导致之重大影响,因政府管制而造成之暂时关闭,病毒侵袭,网站升级、系统停机维护或通讯终端、电信设备出现故障导致无法进行数据传输等。

6.其他规定

(1)本协议内容受中华人民共和国法律的约束。如果本协议中任何规定被裁定为无效或不可强制执行,该项规定应被撤销,而其余规定继续有效。

(2)本协议的最终解释权归六维联合。

(3)本协议条款可由六维联合随时全部或部分转让。未经六维联合事先明确书面同意,用户不得以任何方式转让本协议条款。

注意:六维联合未就您或其他人士的某项违约行为采取行动,并不表明六维联合就任何继后或类似的违约事件放弃采取行动的权利。


我已阅读并同意《服务协议》