Additional file 1 of A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records
Bagattini, Francesco;Karlsson, Isak;Rebane, Jonathan;Papapetrou, Panagiotis
Description
Top 20 least sparse features. The top 20 least sparse multi-variate features per dataset and patient group (i.e., ADE positive and ADE negative patients). The feature names are encoded as Nomenclature, Properties and Units terminology codes and the files include short definitions of these names. (XLS 69 kb)
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Metrics Over Time
Publication Details
DOI
Publisher
figshare
Subfield
Artificial Intelligence
Field
Computer Science
Domain
Physical Sciences
Confidence Score
85%
Source
Open Alex
Keywords
Space ScienceMedicinePharmacologySociologyFOS: Sociology69999 Biological Sciences not elsewhere classifiedFOS: Biological sciences80699 Information Systems not elsewhere classifiedFOS: Computer and information sciences110309 Infectious DiseasesFOS: Health sciences