Malvika Pillai

14 papers C 1Misc 4Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records.
MLHC
Yuqing Wang, Malvika Pillai, Yun Zhao, Catherine M. Curtin, Tina Hernandez-Boussard
2024 J jnl
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records.
CoRR
Yuqing Wang, Malvika Pillai, Yun Zhao, Catherine M. Curtin, Tina Hernandez-Boussard
2024 J jnl
Measuring quality-of-care in treatment of young children with attention-deficit/hyperactivity disorder using pre-trained language models.
J. Am. Medical Informatics Assoc.
Malvika Pillai, José D. Posada, Rebecca M. Gardner, Tina Hernandez-Boussard, Yair Bannett
2024 J jnl
Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models.
CoRR
Yuqing Wang, Yun Zhao, Sara Alessandra Keller, Anne A. H. de Hond, Marieke M. van Buchem, Malvika Pillai, Tina Hernandez-Boussard
2024 J jnl
Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals' burnout.
J. Intell. Inf. Syst.
Malvika Pillai, Chao-Chin Liu, Elizabeth Kwong, Ian Kratzke, Nadia Charguia, Lukasz Mazur, Karthik Adapa
2022 Misc conf
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout.
AMIA
Malvika Pillai, Karthik Adapa, Lukasz Mazur
2022 C conf
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout.
ISMIS
Malvika Pillai, Karthik Adapa, Meagan Foster, Ian Kratzke, Nadia Charguia, Lukasz Mazur
2022 J jnl
Recommendations for design of a mobile application to support management of anxiety and depression among Black American women.
Frontiers Digit. Health
Terika McCall, Megan Threats, Malvika Pillai, Adnan Lakdawala, Clinton S. Bolton III
2022 — conf
Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals.
MIE
Karthik Adapa, Malvika Pillai, Meagan Foster, Nadia Charguia, Lukasz Mazur
2022 Misc conf
Using natural language processing to predict oral cancer risk with dental pathology notes¬¬.
AMIA
Malvika Pillai, Javed Mostafa, Alexander Tropsha, Amanda Seyerle, Jamie Arguello, Di Wu
2021 — conf
Feature Engineering for Interpretable Machine Learning for Quality Assurance in Radiation Oncology.
MedInfo
Malvika Pillai, Karthik Adapa, John W. Shumway, John Dooley, Shiva K. Das, Bhishamjit S. Chera, Lukasz Mazur
2021 — conf
Predicting Objective Performance Using Perceived Cognitive Workload Data in Healthcare Professionals: A Machine Learning Study.
MedInfo
Karthik Adapa, Malvika Pillai, Shiva K. Das, Prithima Mosaly, Lukasz Mazur
2019 Misc conf
Augmenting Quality Assurance Measures in Radiation Oncology with Machine Learning.
AMIA
Malvika Pillai, Karthik Adapa
2019 Misc conf
Using Interactive Data Visualization to Drive Quality Improvement in Emergency Medical Services.
AMIA
Rachel Stemerman, Malvika Pillai