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Malvika Pillai
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Using artificial intelligence to improve the quality and safety of radiation therapy
M Pillai, K Adapa, SK Das, L Mazur, J Dooley, LB Marks, RF Thompson, ...
Journal of the American College of Radiology 16 (9), 1267-1272, 2019
512019
Evaluating the telehealth experience of patients with COVID-19 symptoms: recommendations on best practices
S Khairat, M Pillai, B Edson, R Gianforcaro
Journal of Patient Experience 7 (5), 665-672, 2020
282020
Recommendations for design of a mobile application to support management of anxiety and depression among Black American women
T McCall, M Threats, M Pillai, A Lakdawala, CS Bolton III
Frontiers in Digital Health 4, 1028408, 2022
102022
Improved metabolite prediction using microbiome data-based elastic net models
J Xie, H Cho, BM Lin, M Pillai, LH Heimisdottir, D Bandyopadhyay, F Zou, ...
Frontiers in Cellular and Infection Microbiology 11, 734416, 2021
92021
Chemical entity recognition for MEDLINE indexing
ME Savery, WJ Rogers, M Pillai, JG Mork, D Demner-Fushman
AMIA Summits on Translational Science Proceedings 2020, 561, 2020
52020
Feature engineering for interpretable machine learning for quality assurance in radiation oncology
M Pillai, K Adapa, JW Shumway, J Dooley, SK Das, BS Chera, L Mazur
MEDINFO 2021: One World, One Health–Global Partnership for Digital …, 2022
42022
Machine learning and deep learning in genetics and genomics
D Wu, DS Karhade, M Pillai, MZ Jiang, L Huang, G Li, H Cho, J Roach, ...
Machine Learning in Dentistry, 163-181, 2021
42021
Machine learning to improve the prioritization and effectiveness of pre-treatment physics chart checks
JW Shumway, M Pillai, J Dooley, SK Das, BS Chera
International Journal of Radiation Oncology, Biology, Physics 108 (3), S54-S55, 2020
42020
Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities
M Pillai, AC Griffin, CA Kronk, T McCall
Journal of Medical Internet Research 25, e48498, 2023
32023
Predicting objective performance using perceived cognitive workload data in healthcare professionals: a machine learning study
K Adapa, M Pillai, S Das, P Mosaly, L Mazur
MEDINFO 2021: One World, One Health–Global Partnership for Digital …, 2022
32022
Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals
K Adapa, M Pillai, M Foster, N Charguia, L Mazur
Challenges of Trustable AI and Added-Value on Health, 58-62, 2022
32022
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
Y Wang, M Pillai, Y Zhao, C Curtin, T Hernandez-Boussard
arXiv preprint arXiv:2402.00955, 2024
22024
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout
M Pillai, K Adapa, M Foster, I Kratzke, N Charguia, L Mazur
International Symposium on Methodologies for Intelligent Systems, 149-161, 2022
22022
Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals’ burnout
M Pillai, CC Liu, E Kwong, I Kratzke, N Charguia, L Mazur, K Adapa
Journal of Intelligent Information Systems, 1-12, 2024
12024
Measuring quality-of-care in treatment of young children with attention-deficit/hyperactivity disorder using pre-trained language models
M Pillai, J Posada, RM Gardner, T Hernandez-Boussard, Y Bannett
Journal of the American Medical Informatics Association 31 (4), 949-957, 2024
12024
Validation approaches for computational drug repurposing: a review
M Pillai, D Wu
AMIA Annual Symposium Proceedings 2023, 559, 2023
12023
Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models
Y Wang, Y Zhao, SA Keller, A de Hond, MM van Buchem, M Pillai, ...
arXiv preprint arXiv:2406.12033, 2024
2024
Leveraging a Large Language Model to Assess Quality-of-Care: Monitoring ADHD Medication Side Effects
Y Bannett, F Gunturkun, M Pillai, JE Herrmann, I Luo, LC Huffman, ...
medRxiv, 2024
2024
Patient Characteristics Associated With Phone and Video Visits at a Tele-Urgent Care Center During the Initial COVID-19 Response: Cross-Sectional Study
S Khairat, R John, M Pillai, P McDaniel, B Edson
Online Journal of Public Health Informatics 16, e50962, 2024
2024
National Assessment on the Frequency of Pain Medication Prescribed for Intrauterine Device Insertion Procedures within the Veterans Affairs Health Care System
A Ware, T Blumke, PJ Hoover, ZP Veigulis, JM Ferguson, M Pillai, ...
medRxiv, 2024.07. 25.24311008, 2024
2024
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