Rishab Bhatt

ORCID: 0000-0002-0411-9231
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About
Contact & Profiles
Research Areas
  • Diabetes Management and Education
  • Optimism, Hope, and Well-being
  • Psychological Well-being and Life Satisfaction
  • Renal Transplantation Outcomes and Treatments
  • Health disparities and outcomes
  • Advanced Graph Neural Networks
  • Transplantation: Methods and Outcomes
  • Health Promotion and Cardiovascular Prevention
  • Organ Transplantation Techniques and Outcomes
  • Adversarial Robustness in Machine Learning
  • Explainable Artificial Intelligence (XAI)
  • Chronic Disease Management Strategies

Atlanta VA Medical Center
2023

Emory and Henry College
2023

Stanford University
2021-2022

Emory University
2021-2022

In recent years, graph neural networks (GNNs) and the research on their explainability are experiencing rapid developments achieving significant progress. Many methods proposed to explain predictions of GNNs, focusing "how generate explanations" However, questions like "whether GNN explanations inaccurate", "what if adjust model more accurate have not been well explored. To address above questions, this paper proposes a Explanation Supervision (GNES) <sup...

10.1109/icdm51629.2021.00023 article EN 2021 IEEE International Conference on Data Mining (ICDM) 2021-12-01

Asians have been shown to a 60% higher prevalence of diabetes than Non-Hispanic Whites (NHWs), with the risk being substantially worse for Asian Indians and Filipinos. The age diagnosis these subgroups can be critical indicator health disparities may explain difference in prevalence.

10.59448/jah.v1i1.4 article EN cc-by Journal of Asian Health 2021-07-14
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