13 citations · 28 across the 6 of their papers we have counts for
12 papers
Personal Health Knowledge Graph for Clinically Relevant Diet Recommendations
Oshani Seneviratne, Jonathan Harris, Ching-Hua Chen +1
We propose a knowledge model for capturing dietary preferences and personal context to provide personalized dietary recommendations. We develop a knowledge model called the Persona…
BlockIoT: Blockchain-based Health Data Integration using IoT Devices
Manan Shukla, Jianjing Lin, Oshani Seneviratne
The development and adoption of Electronic Health Records (EHR) and health monitoring Internet of Things (IoT) Devices have enabled digitization of patient records and has also sub…
Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
Shruthi Chari, Prithwish Chakraborty, Mohamed Ghalwash +7
Academic advances of AI models in high-precision domains, like healthcare, need to be made explainable in order to enhance real-world adoption. Our past studies and ongoing interac…
Semantic Modeling for Food Recommendation Explanations
Ishita Padhiar, Oshani Seneviratne, Shruthi Chari +2
With the increased use of AI methods to provide recommendations in the health, specifically in the food dietary recommendation space, there is also an increased need for explainabi…
Applying Personal Knowledge Graphs to Health
Sola Shirai, Oshani Seneviratne, Deborah L. McGuinness
Knowledge graphs that encapsulate personal health information, or personal health knowledge graphs (PHKG), can help enable personalized health care in knowledge-driven systems. In…
Explanation Ontology: A Model of Explanations for User-Centered AI
Shruthi Chari, Oshani Seneviratne, Daniel M. Gruen +3
Explainability has been a goal for Artificial Intelligence (AI) systems since their conception, with the need for explainability growing as more complex AI models are increasingly…