Rahul Thapa

Rahul Thapa

Villanova University

H-index: 9

North America-United States

About Rahul Thapa

Rahul Thapa, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Villanova University, specializes in the field of Machine Learning, Healthcare AI, Data Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

MedAlign: a clinician-generated dataset for instruction following with electronic medical records

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

Standing on FURM ground--A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems

Artificial intelligence method for evaluation of medical conditions and severities

Ehrshot: An ehr benchmark for few-shot evaluation of foundation models

Method for decreasing meltdown incidence and severity in neurodevelopmental disorders

SleepFM: Multi-modal Representation Learning for Sleep across ECG, EEG and Respiratory Signals

Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery

Rahul Thapa Information

University

Position

Student Researcher

Citations(all)

196

Citations(since 2020)

196

Cited By

0

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Rahul Thapa Skills & Research Interests

Machine Learning

Healthcare AI

Data Science

Top articles of Rahul Thapa

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

arXiv preprint arXiv:2402.19371

2024/2/29

Mayank Sharma
Mayank Sharma

H-Index: 4

Rahul Thapa
Rahul Thapa

H-Index: 0

Standing on FURM ground--A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems

arXiv preprint arXiv:2403.07911

2024/2/27

Artificial intelligence method for evaluation of medical conditions and severities

2024/2/22

Ehrshot: An ehr benchmark for few-shot evaluation of foundation models

Advances in Neural Information Processing Systems

2024/2/13

Method for decreasing meltdown incidence and severity in neurodevelopmental disorders

2024/1/4

SleepFM: Multi-modal Representation Learning for Sleep across ECG, EEG and Respiratory Signals

RN

2024

Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery

arXiv preprint arXiv:2304.13714

2023/4/26

The shaky foundations of clinical foundation models: a survey of large language models and foundation models for EMRs

arXiv preprint arXiv:2303.12961

2023/3/22

Machine Learning Differentiation of Autism Spectrum Sub-Classifications

Journal of Autism and Developmental Disorders

2023/9/26

DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record

Journal of the American Medical Informatics Association

2023/9/1

The shaky foundations of large language models and foundation models for electronic health records

2023/7/29

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

International Journal of Medical Informatics

2023/5/1

Keyvan Rahmani
Keyvan Rahmani

H-Index: 7

Rahul Thapa
Rahul Thapa

H-Index: 0

MoleHD: Efficient drug discovery using brain inspired hyperdimensional computing

2022/12/6

Multitask learning with recurrent neural networks for acute respiratory distress syndrome prediction using only electronic health record data: model development and validation …

JMIR Medical Informatics

2022/6/15

Rahul Thapa
Rahul Thapa

H-Index: 0

Keyvan Rahmani
Keyvan Rahmani

H-Index: 7

False positive analysis of machine-learning based sepsis prediction

2022/6/13

Rahul Thapa
Rahul Thapa

H-Index: 0

Misty M Attwood
Misty M Attwood

H-Index: 7

A New Standard for Sepsis Prediction Algorithms: Using Time-Dependent Analysis for Earlier Clinically Relevant Alerts

Available at SSRN 4130480

2022/6/7

Predicting falls in long-term care facilities: machine learning study

JMIR aging

2022/4/1

Rahul Thapa
Rahul Thapa

H-Index: 0

Jacob Calvert
Jacob Calvert

H-Index: 16

Machine learning to predict progression of non‐alcoholic fatty liver to non‐alcoholic steatohepatitis or fibrosis

JGH Open

2022/3

Rahul Thapa
Rahul Thapa

H-Index: 0

Jacob Calvert
Jacob Calvert

H-Index: 16

Early prediction of severe acute pancreatitis using machine learning

Pancreatology

2022/1/1

Rahul Thapa
Rahul Thapa

H-Index: 0

See List of Professors in Rahul Thapa University(Villanova University)

Co-Authors

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