%0 Journal Article
%T Evaluating automated machine learning platforms for use in healthcare.
%A Scott IA
%A De Guzman KR
%A Falconer N
%A Canaris S
%A Bonilla O
%A McPhail SM
%A Marxen S
%A Van Garderen A
%A Abdel-Hafez A
%A Barras M
%J JAMIA Open
%V 7
%N 2
%D 2024 Jul
%M 38863963
暂无%R 10.1093/jamiaopen/ooae031
%X <B>UNASSIGNED: </B>To describe development and application of a checklist of criteria for selecting an automated machine learning (Auto ML) platform for use in creating clinical ML models.<BR><B>UNASSIGNED: </B>Evaluation criteria for selecting an Auto ML platform suited to ML needs of a local health district were developed in 3 steps: (1) identification of key requirements, (2) a market scan, and (3) an assessment process with desired outcomes.<BR><B>UNASSIGNED: </B>The final checklist comprising 21 functional and 6 non-functional criteria was applied to vendor submissions in selecting a platform for creating a ML heparin dosing model as a use case.<BR><B>UNASSIGNED: </B>A team of clinicians, data scientists, and key stakeholders developed a checklist which can be adapted to ML needs of healthcare organizations, the use case providing a relevant example.<BR><B>UNASSIGNED: </B>An evaluative checklist was developed for selecting Auto ML platforms which requires validation in larger multi-site studies.