Rahul Thapa

OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models

Jenish Maharjan, Anurag Garikipati, Navan Preet Singh et al. · Scientific Reports · 2024 · 75 citations · Full text

Artificial Intelligence, Llm Fine-tuning, Engineering +22

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction

Keyvan Rahmani, Rahul Thapa, Peiling Tsou et al. · International Journal of Medical Informatics · 2022 · 65 citations

Engineering, Machine Learning, Machine Learning Tool +16

Early prediction of severe acute pancreatitis using machine learning

Rahul Thapa, Zohora Iqbal, Anurag Garikipati et al. · Pancreatology · 2021 · 47 citations · Full text

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records

Scott L. Fleming, Alejandro Lozano, William J. Haberkorn et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2024 · 43 citations · Full text

Predicting Falls in Long-term Care Facilities: Machine Learning Study

Rahul Thapa, Anurag Garikipati, Sepideh Shokouhi et al. · JMIR Aging · 2022 · 41 citations · Full text