Augmenting Quality Assurance Measures in Radiation Oncology with Machine Learning. - Malvika Pillai; Karthik Adapa (AMIA, 2019)

Using Interactive Data Visualization to Drive Quality Improvement in Emergency Medical Services. - Rachel Stemerman; Malvika Pillai (AMIA, 2019)

Predicting Objective Performance Using Perceived Cognitive Workload Data in Healthcare Professionals: A Machine Learning Study. - Karthik Adapa; Malvika Pillai; Shiva K. Das; Prithima Mosaly; Lukasz Mazur (MedInfo, 2021)

Feature Engineering for Interpretable Machine Learning for Quality Assurance in Radiation Oncology. - Malvika Pillai; Karthik Adapa; John W. Shumway; John Dooley; Shiva K. Das; Bhishamjit S. Chera; Lukasz Mazur (MedInfo, 2021)

An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. - Malvika Pillai; Karthik Adapa; Lukasz Mazur (AMIA, 2022)

Using natural language processing to predict oral cancer risk with dental pathology notes¬¬. - Malvika Pillai; Javed Mostafa; Alexander Tropsha; Amanda Seyerle; Jamie Arguello; Di Wu (AMIA, 2022)

An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. - Malvika Pillai; Karthik Adapa; Meagan Foster; Ian Kratzke; Nadia Charguia; Lukasz Mazur (ISMIS, 2022)

Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals. - Karthik Adapa; Malvika Pillai; Meagan Foster; Nadia Charguia; Lukasz Mazur (MIE, 2022)

Recommendations for design of a mobile application to support management of anxiety and depression among Black American women. - Terika McCall; Megan Threats; Malvika Pillai; Adnan Lakdawala; Clinton S. Bolton III (Frontiers Digit. Health, 2022)

FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records. - Yuqing Wang; Malvika Pillai; Yun Zhao 001; Catherine M. Curtin; Tina Hernandez-Boussard (MLHC, 2024)

Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models. - Yuqing Wang; Yun Zhao 001; Sara Alessandra Keller; Anne A. H. de Hond; Marieke M. van Buchem; Malvika Pillai; Tina Hernandez-Boussard (CoRR, 2024)

Measuring quality-of-care in treatment of young children with attention-deficit/hyperactivity disorder using pre-trained language models. - Malvika Pillai; José D. Posada; Rebecca M. Gardner; Tina Hernandez-Boussard; Yair Bannett (J. Am. Medical Informatics Assoc., 2024)

Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals' burnout. - Malvika Pillai; Chao Chin Liu; Elizabeth Kwong; Ian Kratzke; Nadia Charguia; Lukasz Mazur; Karthik Adapa (J. Intell. Inf. Syst., 2024)