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The Inherent Challenges of Using Large Data Sets in Healthcare Research: Experiences of an Interdisciplinary Team.

作者信息

Kaulfus Aaron, Alexander Susan, Zhao Shuang, Oster Robert A, OʼKeefe Louise C, Bartolucci Al

机构信息

Author Affiliations: Atmospheric Science Department (Mr Kaulfus), College of Nursing (Drs Alexander and O'Keefe), and Political Science and Atmospheric Science Departments (Dr Zhao), University of Alabama in Huntsville; and Division of Preventive Medicine, Department of Medicine (Dr Oster), and Department of Biostatistics (Dr Bartolucci), University of Alabama at Birmingham.

出版信息

Comput Inform Nurs. 2017 May;35(5):221-225. doi: 10.1097/CIN.0000000000000359.

DOI:10.1097/CIN.0000000000000359
PMID:28471876
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5542408/
Abstract
摘要

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Predicting 30-day Hospital Readmission with Publicly Available Administrative Database. A Conditional Logistic Regression Modeling Approach.利用公开可用的行政数据库预测30天再入院情况。一种条件逻辑回归建模方法。
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2
Big data analytics in healthcare: promise and potential.医疗保健中的大数据分析：前景与潜力。
Health Inf Sci Syst. 2014 Feb 7;2:3. doi: 10.1186/2047-2501-2-3. eCollection 2014.
3
Big data in health care: using analytics to identify and manage high-risk and high-cost patients.医疗保健中的大数据：利用分析方法识别和管理高风险及高成本患者。
Health Aff (Millwood). 2014 Jul;33(7):1123-31. doi: 10.1377/hlthaff.2014.0041.
4
Creating value in health care through big data: opportunities and policy implications.通过大数据在医疗保健领域创造价值：机遇与政策启示
Health Aff (Millwood). 2014 Jul;33(7):1115-22. doi: 10.1377/hlthaff.2014.0147.