公开(公告)号：US20230290515A1

公开(公告)日：2023-09-14

申请号：US18174471

申请日：2023-02-24

Applicant: UNIVERSITY OF SOUTH FLORIDA

Inventor： Michael P. Rogers ,  Haroon Janjua ,  Paul C. Kuo ,  Abhinav Harish

IPC: G16H50/30 ,  G06N3/0442

CPC classification number: G16H50/30 ,  G06N3/0442

Abstract: Methods and systems for patient-specific post-surgery mortality prediction are disclosed. The methods and systems include: receiving a plurality of pre-operative factor indications for a patient; obtaining a first trained machine learning model and an interpretable model; applying the plurality of pre-operative factor indications to the first trained machine learning model to obtain a plurality of confidence values corresponding to the plurality of pre-operative factor indications; applying the plurality of confidence values to the interpretable model to obtain a plurality of interpretation indications, the plurality of interpretation indications corresponding to a subset of the plurality of pre-operative factor indications, the plurality of interpretation indications most contributing to mortality of the patient, the plurality of interpretation indications being specific to the patient; and outputting a survival probability of the patient based on the plurality of interpretation indications. Other aspects, embodiments, and features are also claimed and described.