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Informing clinical assessment by contextualizing post-hoc explanations
  of risk prediction models in type-2 diabetes

Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes

11 February 2023
Shruthi Chari
Prasanth Acharya
Daniel Gruen
Olivia R. Zhang
Elif Eyigoz
Mohamed F. Ghalwash
O. Seneviratne
Fernando Jose Suarez Saiz
Pablo Meyer
Prithwish Chakraborty
D. McGuinness
ArXivPDFHTML

Papers citing "Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes"

6 / 6 papers shown
Title
Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice
Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice
José Antonio Siqueira de Cerqueira
Kai-Kristian Kemell
Muhammad Waseem
Rebekah Rousi
Nannan Xi
Juho Hamari
104
3
0
27 Feb 2025
An Ontology-Enabled Approach For User-Centered and Knowledge-Enabled
  Explanations of AI Systems
An Ontology-Enabled Approach For User-Centered and Knowledge-Enabled Explanations of AI Systems
Shruthi Chari
29
0
0
23 Oct 2024
Training and Validating a Treatment Recommender with Partial
  Verification Evidence
Training and Validating a Treatment Recommender with Partial Verification Evidence
Vishnu Unnikrishnan
Clara Puga
Miro Schleicher
Uli Niemann
Berthod Langguth
...
Dimitris Kikidis
E. Vellidou
Ruediger Pryss
Winfried Schlee
M. Spiliopoulou
AAML
CML
16
0
0
10 Jun 2024
Explanatory Argument Extraction of Correct Answers in Resident Medical
  Exams
Explanatory Argument Extraction of Correct Answers in Resident Medical Exams
Iakes Goenaga
Aitziber Atutxa
Koldo Gojenola
Maite Oronoz
Rodrigo Agerri
ELM
70
8
0
01 Dec 2023
Personalized Food Recommendation as Constrained Question Answering over
  a Large-scale Food Knowledge Graph
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph
Yu Chen
Ananya Subburathinam
Ching-Hua Chen
Mohammed J. Zaki
54
65
0
05 Jan 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
254
3,684
0
28 Feb 2017
1