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Latent-Based Imputation of Laboratory Measures from Electronic Health Records: Case for Complex Diseases

2018-03-06

Abstract excerpt

Imputation is a key step in Electronic Health Records-mining as it can significantly affect the conclusions derived from the downstream analysis. There are three main categories that explain the missingness in clinical settings–incompleteness, inconsistency, and inaccuracy–and these can capture a variety of situations: the patient did not seek treatment, the health care provider did not enter the information, etc....

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Literature Corpus work
292cb24c-7a8e-5d36-a21f-b280381b0a5e
DOI
10.1101/275743
Open publication

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Latent-Based Imputation of Laboratory Measures from Electronic Health Records: Case for Complex DiseasesDOI 10.1101/275743
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