电子健康记录和患者命运探索的开源框架

IF 58.7 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
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引用次数: 0

摘要

我们开发了用于电子健康记录数据探索性分析的开源 Python 软件框架 ehrapy。Ehrapy 可处理各种广泛使用的数据格式、预处理任务(如缺失数据估算和偏差检测),并提供各种分析工具,包括患者分层、生存分析、因果推断和轨迹推断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An open-source framework for electronic health record and patient fate exploration

An open-source framework for electronic health record and patient fate exploration
We developed ehrapy, an open-source Python software framework for the exploratory analysis of electronic health record data. Ehrapy handles various widely used data formats, preprocessing tasks such as imputation of missing data and bias detection, and offers tools for analyses including patient stratification, survival analysis, causal inference and trajectory inference.
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来源期刊
Nature Medicine
Nature Medicine 医学-生化与分子生物学
CiteScore
100.90
自引率
0.70%
发文量
525
审稿时长
1 months
期刊介绍: Nature Medicine is a monthly journal publishing original peer-reviewed research in all areas of medicine. The publication focuses on originality, timeliness, interdisciplinary interest, and the impact on improving human health. In addition to research articles, Nature Medicine also publishes commissioned content such as News, Reviews, and Perspectives. This content aims to provide context for the latest advances in translational and clinical research, reaching a wide audience of M.D. and Ph.D. readers. All editorial decisions for the journal are made by a team of full-time professional editors. Nature Medicine consider all types of clinical research, including: -Case-reports and small case series -Clinical trials, whether phase 1, 2, 3 or 4 -Observational studies -Meta-analyses -Biomarker studies -Public and global health studies Nature Medicine is also committed to facilitating communication between translational and clinical researchers. As such, we consider “hybrid” studies with preclinical and translational findings reported alongside data from clinical studies.
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