Exploratory Data Mining for Subgroup Cohort Discoveries and Prioritization

Volume: 24, Issue: 5, Pages: 1456 - 1468
Published: May 1, 2020
Abstract
Finding small homogeneous subgroup cohorts in large heterogeneous populations is a critical process for hypothesis development in biomedical research. Concurrent computational approaches are still lacking in robust answers to the question “what hypotheses are likely to be novel and to produce clinically relevant results with well thought-out study designs?” We have developed a novel subgroup discovery method which employs a deep exploratory...
Paper Details
Title
Exploratory Data Mining for Subgroup Cohort Discoveries and Prioritization
Published Date
May 1, 2020
Volume
24
Issue
5
Pages
1456 - 1468
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