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Malvika Pillai
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2020 – today
- 2024
- [j3]Malvika Pillai
, José D. Posada, Rebecca M. Gardner
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): 949-957 (2024) - [j2]Malvika Pillai
Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals' burnout. J. Intell. Inf. Syst. 62(4): 1113-1124 (2024) - [i2]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 abs/2402.00955 (2024) - [i1]Yuqing Wang, Yun Zhao, Sara Alessandra Keller
Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models. CoRR abs/2406.12033 (2024) - 2022
- [j1]Terika McCall
Recommendations for design of a mobile application to support management of anxiety and depression among Black American women. Frontiers Digit. Health 4 (2022) - [c8]Malvika Pillai, Karthik Adapa, Lukasz Mazur:
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. AMIA 2022 - [c7]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 - [c6]Malvika Pillai
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. ISMIS 2022: 149-161 - [c5]Karthik Adapa
Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals. MIE 2022: 58-62 - 2021
- [c4]Malvika Pillai
Feature Engineering for Interpretable Machine Learning for Quality Assurance in Radiation Oncology. MedInfo 2021: 460-464 - [c3]Karthik Adapa
Predicting Objective Performance Using Perceived Cognitive Workload Data in Healthcare Professionals: A Machine Learning Study. MedInfo 2021: 809-813
2010 – 2019
- 2019
- [c2]Malvika Pillai, Karthik Adapa:
Augmenting Quality Assurance Measures in Radiation Oncology with Machine Learning. AMIA 2019 - [c1]Rachel Stemerman, Malvika Pillai:
Using Interactive Data Visualization to Drive Quality Improvement in Emergency Medical Services. AMIA 2019
Coauthor Index
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