Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease

首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease

【24h】

Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease

机译：机器学习算法对慢性阻塞性肺疾病中急性加剧鉴定的比较

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Objectives: Identifying acute exacerbations in chronic obstructive pulmonary disease (AECOPDs) is of utmost importance for reducing the associated mortality and financial burden. In this research, the authors aimed to develop identification models for AECOPDs and to compare the relative performance of different modeling paradigms to find the best model for this task.

机译：目的：鉴定慢性阻塞性肺病（AECOPD）中急性加剧，最重要的是降低相关的死亡率和财务负担。在这项研究中，作者旨在为AECOPDS开发识别模型，并比较不同建模范式的相对性能，为此任务找到最佳模型。

著录项

来源
《Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice》 |2020年第2020期|共8页
作者

展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
Pulmonary disease; Chronic obstructive; Exacerbation; Machine learning;

机译：肺病;慢性阻塞性;加剧;机器学习;

相似文献

外文文献
中文文献
专利

1. Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease [J] . Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2020,第期

机译：机器学习算法对慢性阻塞性肺疾病中急性加剧鉴定的比较
2. Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning Algorithms [J] . Shayan Mostafaei, Anoshirvan Kazemnejad, Sadegh Azimzadeh Jamalkandi, Scientific reports. . 2018,第1期

机译：使用基于机器的学习算法识别与慢性阻塞性肺疾病（COPD）相关的人气道上皮细胞中的新基因
3. Machine learning algorithms and forced oscillation measurements applied to the automatic identification of chronic obstructive pulmonary disease [J] . AmaralJ.L.M., LopesA.J., JansenJ.M., Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2012,第3期

机译：机器学习算法和强制振荡测量应用于慢性阻塞性肺疾病的自动识别
4. Prediction Indicators for Acute Exacerbations of Chronic Obstructive Pulmonary Disease By Combining Non-linear analyses and Machine Learning [C] . Yu Jin, Chang Chen, Teng Zhang, IEEE International Conference on Bioinformatics and Biomedicine . 2018

机译：通过结合非线性分析和机器学习的慢性阻塞性肺疾病急性恶化预测指标
5. Evaluation of the relationship between ambient air pollution and hospitalization for acute exacerbation of chronic obstructive pulmonary disease at Temple University Hospital. [D] . Krug-Gourley, Susan L. 2012

机译：在天普大学医院评估环境空气污染与住院治疗慢性阻塞性肺疾病急性加重之间的关系。
6. Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning Algorithms [O] . Shayan Mostafaei, Anoshirvan Kazemnejad, Sadegh Azimzadeh Jamalkandi, -1

机译：使用基于机器的学习算法识别与慢性阻塞性肺疾病（COPD）相关的人气道上皮细胞中的新基因
7. Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study (Preprint) [O] . Chia-Tung Wu, Guo-Hung Li, Chun-Ta Huang, 2020

机译：使用可穿戴设备数据，机器学习和深度学习的慢性阻塞性肺病预测系统急性加剧：发展与队列研究（预印）

Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease

摘要

著录项

相似文献

相关主题

期刊订阅