Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes
- Shruthi Chari
- Prasant Acharya
- et al.
- 2023
- Artificial Intelligence in Medicine
Publications
Date
Featured collections
Popular topics
23 results for Daniel M. Gruen
Healthy Food Recommendation and Explanation Generation using a Semantically-Enabled Framework?
- Sola S. Shirai
- Oshani Seneviratne
- et al.
- 2021
- ISWC-Posters-Demos-Industry 2021
Explanation ontology in action: A clinical use-case
- Shruthi Chari
- Oshani Seneviratne
- et al.
- 2020
- ISWC-Posters 2020
Applying learning and semantics for personalized food recommendations?
- Nidhi Rastogi
- Oshani Seneviratne
- et al.
- 2020
- ISWC-Posters 2020
Evaluating artificial intelligence in medicine: Phases of clinical research
- Yoonyoung Park
- Gretchen Purcell Jackson
- et al.
- 2020
- JAMIA Open
Tutorial on Human-Centered Explainability for Healthcare
- Prithwish Chakraborty
- Bum Chul Kwon
- et al.
- 2020
- KDD 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
- Q. Vera Liao
- Daniel M. Gruen
- et al.
- 2020
- CHI 2020
Cognitive company discovery
- Anuradha Bhamidipaty
- Daniel M. Gruen
- et al.
- 2018
- RecSys 2018
What Happens When?: Interpreting Schedule of Activity Tables in Clinical Trial Documents
- Murtaza Dhuliawala
- Nicholas Fay
- et al.
- 2018
- BCB 2018
Symbiotic cognitive computing
- Robert Farrell
- Jonathan Lenchner
- et al.
- 2016
- AI Magazine