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Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review
2016
JAMIA Journal of the American Medical Informatics Association
Objective: Electronic health records (EHRs) are an increasingly common data source for clinical risk prediction, presenting both unique analytic opportunities and challenges. We sought to evaluate the current state of EHR based risk prediction modeling through a systematic review of clinical prediction studies using EHR data. Methods: We searched PubMed for articles that reported on the use of an EHR to develop a risk prediction model from 2009 to 2014. Articles were extracted by two reviewers,
doi:10.1093/jamia/ocw042
pmid:27189013
pmcid:PMC5201180
fatcat:wcaufkj2c5f27owhdmsxb2bmge