Ontology highlight
ABSTRACT:
SUBMITTER: Panchavati S
PROVIDER: S-EPMC8667565 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature
Panchavati Saarang S Lam Carson C Zelin Nicole S NS Pellegrini Emily E Barnes Gina G Hoffman Jana J Garikipati Anurag A Calvert Jacob J Mao Qingqing Q Das Ritankar R
Healthcare technology letters 20210831 6
Diagnosis and appropriate intervention for myocardial infarction (MI) are time-sensitive but rely on clinical measures that can be progressive and initially inconclusive, underscoring the need for an accurate and early predictor of MI to support diagnostic and clinical management decisions. The objective of this study was to develop a machine learning algorithm (MLA) to predict MI diagnosis based on electronic health record data (EHR) readily available during Emergency Department assessment. An ...[more]