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Identifying Inpatient Mortality in MarketScan Claims Data Using Machine Learning.

Fenglong XieTimothy BeukelmanDongmei SunHuifeng YunJeffrey R Curtis
Published in: Pharmacoepidemiology and drug safety (2023)
We successfully developed machine learning algorithms to identify inpatient mortality. This approach can be applied to obscured data to accurately identify inpatient mortality among hospitalizations with missing discharge status. This article is protected by copyright. All rights reserved.
Keyphrases
  • machine learning
  • cardiovascular events
  • palliative care
  • mental health
  • big data
  • electronic health record
  • risk factors
  • coronary artery disease
  • deep learning
  • cardiovascular disease