Dipak Prasad Upadhyaya

About Me

I am a Ph.D. candidate in Biomedical and Health Informatics at Case Western Reserve University, advised by Dr. Satya Sahoo. Broadly, my research lies in the nexus of machine learning and explainable AI to improve the quality and safety of healthcare services and knowledge discovery in healthcare. I am interested in developing and using methods and tools to interpret complex machine-learning models in healthcare settings. In my current research, we used ontology-based features engineering approach in machine learning for neuropathology and different explainable methods in sepsis detection with electronic health records.

Education

Publications

Sahoo, S. S., Kobow, K., Zhang, J., Buchhalter, J., Dayyani, M., Upadhyaya, D. P., Prantzalos, K., Bhattacharjee, M., Blumcke, I., Wiebe, S., & Lhatoo, S. D. (2022). Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records. Scientific reports, 12(1), 19430.

Prantzalos, K., Upadhyaya, D.P., Shafiabadi, N., Gurski, N., Fernandez-BacaVaca, G., Yoshimoto, K., Sivagnanam, S., Majumdar, A. and Sahoo, S.S., 2023. MaTiLDA: An Integrated Machine Learning and Topological Data Analysis Platform for Brain Network Dynamics . Proceedings of the 29th Pacific Symposium on Biocomputing (PSB), 29:65-80(2024).

Upadhyaya, D. P., Paudel, R., Acharya, D., Khoshnood, K., Lee, K., Park, J. H., Yoo, S. J., Shrestha, A., Bc, B., Bhandari, S., Yadav, R., Timalsina, A., Wagle, C. N., Das, B. K., Kunwar, R., Chalise, B., Bhatta, D. R., & Adhikari, M. (2020). Frontline Healthcare Workers' Knowledge and Perception of COVID-19, and Willingness to Work during the Pandemic in Nepal. Healthcare (Basel, Switzerland), 8(4), 554.

Adhikari, N., Acharya, K., Upadhya, D. P., Pathak, S., Pokharel, S., & Pradhan, P. M. S. (2021). Infant and young child feeding practices and its associated factors among mothers of under two years children in a western hilly region of Nepal. PloS one, 16(12), e0261301.

Preprint

Upadhyaya DP, Tarabichi Y, Prantzalos K, Ayub S, Kaelber DC, Sahoo SS. Characterizing the Importance of Hematologic Biomarkers in Screening for Severe Sepsis using Machine Learning Interpretability Methods. medRxiv 2023.05.30.23290757; doi: https://doi.org/10.1101/2023.05.30.23290757, 2023.

Teaching Experience

Department of Population and Quantitative Health Sciences, Case Western Reserve University

Professor: Dr. Satya Sahoo

Professional Organizations

American Medical Informatics Association, MD USA

Life member: Nepal Public Health Association, Kathmandu, Nepal

Nepal Health Professional Council, Kathmandu, Nepal

Skills

Python | R | Java | SAS | Git | HTML | CSS | JavaScript | LATEX | Microsoft Office

Research Interests

• Machine learning
• Explainable AI
• Neuroinformatics
• Healthcare
• Infectious Epidemiology