An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing

机译：使用自然语言处理的数字直肠检查文档的自动化特征工程

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摘要

Digital rectal examination (DRE) is considered a quality metric for prostate cancer care. However, much of the DRE related rich information is documented as free-text in clinical narratives. Therefore, we aimed to develop a natural language processing (NLP) pipeline for automatic documentation of DRE in clinical notes using a domain-specific dictionary created by clinical experts and an extended version of the same dictionary learned by clinical notes using distributional semantics algorithms. The proposed pipeline was compared to a baseline NLP algorithm and the results of the proposed pipeline were found superior in terms of precision (0.95) and recall (0.90) for documentation of DRE. We believe the rule-based NLP pipeline enriched with terms learned from the whole corpus can provide accurate and efficient identification of this quality metric.

机译：直肠指检（DRE）被认为是前列腺癌护理的质量指标。但是，许多与DRE相关的丰富信息在临床叙述中被记录为自由文本。因此，我们旨在开发一种自然语言处理（NLP）管道，以使用由临床专家创建的特定领域词典，以及由临床笔记使用分布式语义算法学习的同一词典的扩展版本，来在临床笔记中自动记录DRE。将拟议的管道与基线NLP算法进行比较，结果发现，拟议管道的结果在DRE文档的精度（0.95）和召回率（0.90）方面更高。我们认为，基于规则的NLP管道具有从整个语料库中学习到的术语，可以为该质量指标提供准确而有效的标识。

著录项

期刊名称 AMIA Annual Symposium Proceedings
作者
Selen Bozkurt; Jung In Park; Kathleen Mary Kan; Michelle Ferrari; Daniel L Rubin; James D Brooks; Tina Hernandez-Boussard;
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年(卷),期 2018(2018),-1
年度 2018
页码 288–294
总页数 7
原文格式 PDF
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专利

1. Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification [J] . Journal of digital imaging: the official journal of the Society for Computer Applications in Radiology . 2020,第1期

机译：自动检测放射学报告，需要使用自然语言处理的后续成像功能工程和机器学习分类
2. Natural Language Processing to Assess Documentation of Features of Critical Illness in Discharge Documents of Acute Respiratory Distress Syndrome Survivors [J] . Gary E. Weissman, Michael O. Harhay, Ricardo M. Lugo, Annals of the American Thoracic Society . 2016,第9期

机译：自然语言处理，以评估急性呼吸窘迫综合征幸存者的排放文件中危重疾病特征的文献
3. A Novel Software Tool for Supporting and Automating the Requirements Engineering Process with the use of Natural Language [J] . International Journal of Computer Science and Technology . 2011,第3期

机译：一种使用自然语言支持和自动化需求工程流程的新型软件工具
4. Relational Feature Engineering of Natural Language Processing [C] . Hamidreza Kobdani, Hinrich Schutze, Andre Burkovski, CIKM 10;ACM conference on information and knowledge management . 2011

机译：自然语言处理的关系特征工程
5. Novel Applications of Natural Language Processing and Machine Learning to Extract Information from Clinical Text and Automate Cancer Stage Collection in a Central Cancer Registry [D] . AAlAbdulsalam, Abdulrahman Khalifa. 2018

机译：自然语言加工和机器学习从临床文本提取信息的新应用，并在中央癌症注册表中自动化癌症阶段收集
6. Is it possible to automatically assess pretreatment digital rectal examination documentation using natural language processing? A single-centre retrospective study [O] . Selen Bozkurt, Kathleen M Kan, Michelle K Ferrari, 2019

机译：是否可以使用自然语言处理自动评估治疗前直肠指检文件？单中心回顾性研究
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing

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