公开(公告)号：US20240186019A1

公开(公告)日：2024-06-06

申请号：US18514454

申请日：2023-11-20

Applicant: Abbott Laboratories

Inventor： Divine E. Ediebah ,  Jana R. Buccola ,  Ciaran Byrne

IPC: G16H50/30 ,  G16H50/20 ,  G16H50/70

CPC classification number: G16H50/30 ,  G16H50/20 ,  G16H50/70

Abstract: Systems, apparatuses and methods may provide technology that automatically converts, by a machine learning model, a Shapley plot into a hazard ratio plot. The technology may also identify a set of preoperative baseline characteristics associated with a procedure on a pooled patient population, determine, by a machine learning model, a set of health failure probabilities for a target patient based on the set of preoperative baseline characteristic and a set of preoperative target characteristics, wherein the set of preoperative target characteristics correspond to the target client, and pair, by the machine learning model, each probability in the set of health failure probabilities with a postoperative dual antiplatelet therapy (DAPT) duration for the target patient.