Skip to main content

HEALS Publications

2022 |2021 | 2020 | 2019 | 2018 | 2017

2022

  • Diya Li, Mohammed J. Zaki, Ching-hua Che; Health-guided recipe recommendation over knowledge graphs,
    Journal of Web Semantics,2022,100743,ISSN 1570-8268,https://doi.org/10.1016/j.websem.2022.100743.
  • Jonathan J. Harris and Mohammed J. Zaki. Towards neural numeric-to-text generation from temporal personal health data. In Workshop on Applied Data Science for Healthcare: Transparent and Human-centered AI (with KDD). Aug 2022.
  • Zhang, O., Chari, S., Saiz, F. S., Gruen, D. M., Acharya, P., Seneviratne, O., Meyer, P., McGuinness, D. L, Chakraborty, P.; “Understanding Clinician Workflows to Design AI Risk Prediction Models”; AMIA Inf. Summ., Apr 2022.  (Poster)

2021

  • JAMIA Open
    • M. Qi, O. Cahan, M. A. Foreman, D. M. Gruen, A. K. Das, and K. P. Bennett (2021). “Quantifying Representativeness in Randomized Clinical Trials Using Machine Learning Fairness Metrics,” JAMIA Open.
  • International Semantic Web Conference
    • Sola S. Shirai, Oshani Seneviratne, Ching-Hua Chen, Daniel M. Gruen, and Deborah L. McGuinness. Healthy Food Recommendation and Explanation Generation using a Semantically-Enabled Framework; ISWC 2021 (Poster)
  • AMIA
    • Manan Shukla, Jianjin Lin, and Oshani Seneviratne, “BlockIoT: Blockchain-based Health Data Integration using IoT Devices,” AMIA Symp. 2021. 
    • M. Qi, A. K. Das, and K. P. Bennett (2021). “Planning Equitable Clinical Trial Enrollment using Integer Programming,” American Medical Informatics Association (AMIA) Annual Conference 2021 (Podium Abstract).
    • S Chari, P Chakraborty, O Seneviratne, M Ghalwash, DM Gruen, D Sow, DL McGuinness; “Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology”; AMIA Symp. 2021 (Poster)
    • Jonathan Harris, Deborah L. McGuinness, Marco Monti, Oshani Seneviratne, Mohammed J. Zaki, Ching-Hua Chen. "Enhancing Clinical Relevance of Health Behavior Insights via Semantics"; AMIA Symp. 2021 (Poster)
  • MCBK
    • S Chari, O Zhang, P Acharya, FS Saiz, M Ghalwash, EK Eyigoz, O Seneviratne, DM Gruen, PM Rojas, P Chakraborty, DL McGuinness; “Towards Providing Clinical Context for a Diabetes Risk-Prediction Use Case via User-centered Explainability”; MCBK Symp., Jul 2021
  • ACM SIGKDD
    • S Chari, P Chakraborty,  M Ghalwash, O Seneviratne,  DM Gruen, FS Saiz, CH Chen, PM Rojas, DL McGuinness; “Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case”; KDD Applied Data Science in Healthcare (DSHealth) Workshop; 2021
  • ACM Transactions on Computing for Healthcare
    • A Framework for Generating Summaries from Temporal Personal Health Data; Jonathan Harris, Ching-Hua Chen, Mohammed J. Zaki
  • Journal - Frontiers in Artificial Intelligence, section AI in Food, Agriculture and Water
  • Web Search and Data Mining
    • Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph; Yu Chen, Ananya Subburathinam, Ching-Hua Chen, and Mohammed J. Zaki; The 14th ACM International Conference on Web Search and Data Mining 2021
  • AAAI 2021 Workshop: Trustworthy AI for Healthcare
  • Data Engineering Meets intelligent food and Cooking Recipes (DECOR) Workshop
    • Semantic Modeling for Food Recommendation Explanations; Ishita Padhiar, Oshani Seneviratne, Shruthi Chari, Dan Gruen, and Deborah McGuinness (Best Student Paper Award)
    • Nutrition Guided Recipe Search via Pre-trained Recipe Embeddings, Diya Li, Mohammed J. Zaki, and Ching-hua Chen

2020

2019

2018

2017