{"title":"电子健康记录和患者命运探索的开源框架","authors":"","doi":"10.1038/s41591-024-03298-8","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":19037,"journal":{"name":"Nature Medicine","volume":null,"pages":null},"PeriodicalIF":58.7000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An open-source framework for electronic health record and patient fate exploration\",\"authors\":\"\",\"doi\":\"10.1038/s41591-024-03298-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":19037,\"journal\":{\"name\":\"Nature Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":58.7000,\"publicationDate\":\"2024-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41591-024-03298-8\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41591-024-03298-8","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
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.
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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