145 citations · 793 across the 36 of their papers we have counts for
4 papers · 1 filter
Evaluating recommender systems for AI-driven biomedical informatics
William La Cava, Heather Williams, Weixuan Fu +3
Motivation: Many researchers with domain expertise are unable to easily apply machine learning to their bioinformatics data due to a lack of machine learning and/or coding expertis…
Semantic variation operators for multidimensional genetic programming
William La Cava, Jason H. Moore
Multidimensional genetic programming represents candidate solutions as sets of programs, and thereby provides an interesting framework for exploiting building block identification.…
Interpretation of machine learning predictions for patient outcomes in electronic health records
William La Cava, Christopher Bauer, Jason H. Moore +1
Electronic health records are an increasingly important resource for understanding the interactions between patient health, environment, and clinical decisions. In this paper we re…
Electronic Health Record Phenotyping with Internally Assessable Performance (PhIAP) using Anchor-Positive and Unlabeled Patients
Lingjiao Zhang, Xiruo Ding, Yanyuan Ma +5
Building phenotype models using electronic health record (EHR) data conventionally requires manually labeled cases and controls. Assigning labels is labor intensive and, for some p…