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Methods Inf Med 2023; 62(01/02): 060-070
DOI: 10.1055/s-0043-1762904
Original Article

Evaluation of Feature Selection Methods for Preserving Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine

Joshua Lemmon
1   Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
,
Lin Lawrence Guo
1   Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
,
Jose Posada
2   Biomedical Informatics Research, Stanford University, Palo Alto, California, United States
3   Department of Systems Engineering, Universidad del Norte, Barranquilla, Atlantico, Colombia
,
Stephen R. Pfohl
2   Biomedical Informatics Research, Stanford University, Palo Alto, California, United States
,
Jason Fries
2   Biomedical Informatics Research, Stanford University, Palo Alto, California, United States
,
Scott Lanyon Fleming
2   Biomedical Informatics Research, Stanford University, Palo Alto, California, United States
,
Catherine Aftandilian
4   Division of Pediatric Hematology/Oncology, Stanford University, Palo Alto, California, United States
,
Nigam Shah
2   Biomedical Informatics Research, Stanford University, Palo Alto, California, United States
,
Lillian Sung
1   Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
5   Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada
› Author Affiliations