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
Paper
Publications
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
Conference paperApplying learning and semantics for personalized food recommendations?
- Nidhi Rastogi
- Oshani Seneviratne
- et al.
- 2020
- ISWC-Posters 2020
Conference paperExplanation ontology in action: A clinical use-case
- Shruthi Chari
- Oshani Seneviratne
- et al.
- 2020
- ISWC-Posters 2020
Conference paperEvaluating artificial intelligence in medicine: Phases of clinical research
- Yoonyoung Park
- Gretchen Purcell Jackson
- et al.
- 2020
- JAMIA Open
ReviewTutorial on Human-Centered Explainability for Healthcare
- Prithwish Chakraborty
- Bum Chul Kwon
- et al.
- 2020
- KDD 2020
Conference paperQuestioning the AI: Informing Design Practices for Explainable AI User Experiences
- Q. Vera Liao
- Daniel M. Gruen
- et al.
- 2020
- CHI 2020
Conference paperCognitive company discovery
- Anuradha Bhamidipaty
- Daniel M. Gruen
- et al.
- 2018
- RecSys 2018
Conference paperWhat Happens When?: Interpreting Schedule of Activity Tables in Clinical Trial Documents
- Murtaza Dhuliawala
- Nicholas Fay
- et al.
- 2018
- BCB 2018
Conference paperSymbiotic cognitive computing
- Robert Farrell
- Jonathan Lenchner
- et al.
- 2016
- AI Magazine
Paper