Malvika Pillai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Natural Language Processing

Quality Assurance

Healthcare Professionals

Data Visualization

Top Venues

Publications

Yuqing Wang, Yun Zhao, Sara Alessandra Keller, Anne A. H. de Hond, Marieke M. van Buchem, Malvika Pillai, Tina Hernandez-Boussard
Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models. CoRR (2024)
Yuqing Wang, Malvika Pillai, Yun Zhao, Catherine M. Curtin, Tina Hernandez-Boussard
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records. CoRR (2024)
Malvika Pillai, José D. Posada, Rebecca M. Gardner, Tina Hernandez-Boussard, Yair Bannett
Measuring quality-of-care in treatment of young children with attention-deficit/hyperactivity disorder using pre-trained language models. J. Am. Medical Informatics Assoc. 31 (4) (2024)
Malvika Pillai, Karthik Adapa, Meagan Foster, Ian Kratzke, Nadia Charguia, Lukasz Mazur
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. ISMIS (2022)
Malvika Pillai, Karthik Adapa, Lukasz Mazur
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. AMIA (2022)
Malvika Pillai, Javed Mostafa, Alexander Tropsha, Amanda Seyerle, Jamie Arguello, Di Wu
Using natural language processing to predict oral cancer risk with dental pathology notes¬¬. AMIA (2022)
Terika McCall, Megan Threats, Malvika Pillai, Adnan Lakdawala, Clinton S. Bolton III
Recommendations for design of a mobile application to support management of anxiety and depression among Black American women. Frontiers Digit. Health 4 (2022)
Karthik Adapa, Malvika Pillai, Meagan Foster, Nadia Charguia, Lukasz Mazur
Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals. MIE (2022)
Karthik Adapa, Malvika Pillai, Shiva K. Das, Prithima Mosaly, Lukasz Mazur
Predicting Objective Performance Using Perceived Cognitive Workload Data in Healthcare Professionals: A Machine Learning Study. MedInfo (2021)
Malvika Pillai, Karthik Adapa, John W. Shumway, John Dooley, Shiva K. Das, Bhishamjit S. Chera, Lukasz Mazur
Feature Engineering for Interpretable Machine Learning for Quality Assurance in Radiation Oncology. MedInfo (2021)
Rachel Stemerman, Malvika Pillai
Using Interactive Data Visualization to Drive Quality Improvement in Emergency Medical Services. AMIA (2019)
Malvika Pillai, Karthik Adapa
Augmenting Quality Assurance Measures in Radiation Oncology with Machine Learning. AMIA (2019)