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Journal Articles
- 2024
[j3]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): 949-957 (2024)- [j2]Malvika Pillai, Chao Chin Liu, Elizabeth Kwong, Ian Kratzke, Nadia Charguia, Lukasz Mazur, Karthik Adapa:
Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals' burnout. J. Intell. Inf. Syst. 62(4): 1113-1124 (2024) - 2022
- [j1]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)
Conference and Workshop Papers
- 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, Karthik Adapa, Meagan Foster, Ian Kratzke, Nadia Charguia, Lukasz Mazur:
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. ISMIS 2022: 149-161 - [c5]Karthik Adapa, Malvika Pillai, Meagan Foster, Nadia Charguia, Lukasz Mazur:
Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals. MIE 2022: 58-62 - 2021
- [c4]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: 460-464 - [c3]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: 809-813 - 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
Informal and Other Publications
- 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, 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 abs/2406.12033 (2024)
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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