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A novel interpretable machine learning system to generate clinical risk
  scores: An application for predicting early mortality or unplanned
  readmission in a retrospective cohort study

A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study

10 January 2022
Yilin Ning
Siqi Li
M. Ong
F. Xie
Bibhas Chakraborty
Daniel Ting
Nan Liu
    FAtt
ArXivPDFHTML

Papers citing "A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study"

3 / 3 papers shown
Title
Designing Interpretable ML System to Enhance Trust in Healthcare: A
  Systematic Review to Proposed Responsible Clinician-AI-Collaboration
  Framework
Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework
Elham Nasarian
R. Alizadehsani
U. Acharya
Kwok-Leung Tsui
22
41
0
18 Nov 2023
A roadmap to fair and trustworthy prediction model validation in
  healthcare
A roadmap to fair and trustworthy prediction model validation in healthcare
Yilin Ning
V. Volovici
M. Ong
B. Goldstein
Nan Liu
14
0
0
07 Apr 2023
Shapley variable importance cloud for machine learning models
Shapley variable importance cloud for machine learning models
Yilin Ning
Mingxuan Liu
Nan Liu
FAtt
TDI
30
1
0
16 Dec 2022
1