Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models

Authors: Wang, Yuqing, Zhao, Yun, Keller, Sara Alessandra, de Hond, Anne, van Buchem, Marieke M., Pillai, Malvika, Hernandez-Boussard, Tina

Subject Terms: Computer Science - Computation and Language

Access URL: http://arxiv.org/abs/2406.12033

FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records

Authors: Wang, Yuqing, Pillai, Malvika, Zhao, Yun, Curtin, Catherine, Hernandez-Boussard, Tina

Subject Terms: Computer Science - Machine Learning, Computer Science - Computers and Society

Access URL: http://arxiv.org/abs/2402.00955

An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout
Foundations of Intelligent Systems (26th International symposium on methodologies for intelligent systems, ISMIS 2022)

Authors: Pillai, Malvika, Adapa, Karthik, Foster, Meagan, Kratzke, Ian, Charguia, Nadia, Mazur, Lukasz

Source: Lecture notes in computer science. 13515:149-161

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN608156858&indx=1&recIds=ETOCCN608156858

Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals
32nd Conference on Medical Informatics Europe

Authors: Adapa, Karthik, Pillai, Malvika, Foster, Meagan, Charguia, Nadia, Mazur, Lukasz

Source: Studies in health technology and informatics. 294:58-62

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN607823002&indx=1&recIds=ETOCCN607823002

Predicting Objective Performance Using Perceived Cognitive Workload Data in Healthcare Professionals: A Machine Learning Study
18th World Conference on Medinfo Medical and Health Informatics

Authors: Adapa, Karthik, Pillai, Malvika, Das, Shiva, Mosaly, Prithima, Mazur, Lukasz

Source: Studies in health technology and informatics. 290(2):809-813

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN607826881&indx=1&recIds=ETOCCN607826881

Feature Engineering for Interpretable Machine Learning for Quality Assurance in Radiation Oncology
18th World Conference on Medinfo Medical and Health Informatics

Authors: Pillai, Malvika, Adapa, Karthik, Shumway, John W., Dooley, John, Das, Shiva K., Chera, Bhishamjit S., Mazur, Lukasz

Source: Studies in health technology and informatics. 290(1):460-464

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN607826157&indx=1&recIds=ETOCCN607826157

Augmenting Quality Assurance Measures in Treatment Review with Machine Learning in Radiation Oncology

Authors: Pillai, Malvika, Shumway, John W., Adapa, Karthik, Dooley, John, McGurk, Ross, Mazur, Lukasz M., Das, Shiva K., Chera, Bhishamjit S.

Source: In Advances in Radiation Oncology November-December 2023 8(6)

National assessment on the frequency of pain medication prescribed for intrauterine device insertion procedures within the Veterans Affairs Health Care System.

Authors: Ware, Anna D., Blumke, Terri L., Hoover, Peter J., Veigulis, Zach P., Ferguson, Jacqueline M., Pillai, Malvika, Osborne, Thomas F.

Source: PLoS ONE; 1/10/2025, Vol. 20 Issue 1, p1-20, 20p

Subject Terms: ELECTRONIC health records, VETERANS' health, ANTI-inflammatory agents, PAIN measurement, PAIN management, INTRAUTERINE contraceptives

Using Artificial Intelligence to Improve the Quality and Safety of Radiation Therapy

Authors: Pillai, Malvika, Adapa, Karthik, Das, Shiva K., Mazur, Lukasz, Dooley, John, Marks, Lawrence B., Thompson, Reid F., Chera, Bhishamjit S.

Source: In Journal of the American College of Radiology September 2019 16(9) Part B:1267-1272

Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities.

Authors: Pillai, Malvika^1,2 (AUTHOR) mpillai@stanford.edu, Griffin, Ashley C^2,3 (AUTHOR), Kronk, Clair A⁴ (AUTHOR), McCall, Terika^4,5,6 (AUTHOR)

Source: Journal of Medical Internet Research. 2023, Vol. 25 Issue 1, p1-10. 10p.

Subject Terms: *NATURAL language processing, *COMMUNITY-based participatory research, *ARTIFICIAL intelligence, *LANGUAGE research, *PARTICIPATORY design

Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals' burnout.

Authors: Pillai, Malvika^1,2,3, Liu, Chao Chin^4,5, Kwong, Elizabeth^3,5, Kratzke, Ian⁵, Charguia, Nadia⁶, Mazur, Lukasz^3,5, Adapa, Karthik^3,5, karthikk@live.unc.edu

Source: Journal of Intelligent Information Systems; Aug2024, Vol. 62 Issue 4, p1113-1124, 12p

Measuring quality-of-care in treatment of young children with attention-deficit/hyperactivity disorder using pre-trained language models.

Authors: Pillai, Malvika¹, Posada, Jose², Gardner, Rebecca M³, Hernandez-Boussard, Tina¹, Bannett, Yair⁴, ybannett@stanford.edu

Source: Journal of the American Medical Informatics Association; Apr2024, Vol. 31 Issue 4, p949-957, 9p

USING INTERACTIVE DATA VISUALIZATION TO DRIVE QUALITY IMPROVEMENT IN EMERGENCY MEDICAL SERVICES
American Medical Informatics Association annual symposium, AMIA

Authors: Stemerman, Rachel, Pillai, Malvika

Source: AMIA annual symposium. 3:1465-1466

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN606293353&indx=1&recIds=ETOCCN606293353

Applying Large Language Models to Assess Quality of Care: Monitoring ADHD Medication Side Effects.

Authors: Bannett, Yair, Gunturkun, Fatma, Pillai, Malvika, Herrmann, Jessica E., Luo, Ingrid, Huffman, Lynne C., Feldman, Heidi M.

Source: Pediatrics; Jan2025, Vol. 155 Issue 1, p1-9, 1p

AUGMENTING QUALITY ASSURANCE MEASURES IN RADIATION ONCOLOGY WITH MACHINE LEARNING
American Medical Informatics Association annual symposium, AMIA

Authors: Pillai, Malvika, Adapa, Karthik

Source: AMIA annual symposium. 3:1709-1709

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN606295607&indx=1&recIds=ETOCCN606295607

Improved Metabolite Prediction Using Microbiome Data-Based Elastic Net Models.

Authors: Xie, Jialiu, Cho, Hunyong, Lin, Bridget M., Pillai, Malvika, Heimisdottir, Lara H., Bandyopadhyay, Dipankar, Zou, Fei, Roach, Jeffrey, Divaris, Kimon, Wu, Di

Source: Frontiers in Cellular & Infection Microbiology; 10/25/2021, Vol. 11, p1-16, 16p

Subject Terms: MICROBIAL metabolites, GUT microbiome, METAGENOMICS, FORECASTING, GENE families, PERFORMANCE standards

Geographic Terms: NORTH Carolina

Predicting Objective Performance Using Perceived Cognitive Workload Data in Healthcare Professionals: A Machine Learning Study.

Authors: Adapa, Karthik, Pillai, Malvika, Das, Shiva, Mosaly, Prithima, Mazur, Lukasz

Source: Medinfo; 2021, Vol. 290, p809-813, 5p

Subject Terms: STATISTICS, ATTITUDES of medical personnel, MACHINE learning, COGNITION, ERGONOMICS, EMPLOYEES' workload, TELECONFERENCING, QUESTIONNAIRES, JOB performance, PREDICTION models, STATISTICAL sampling

Feature Engineering for Interpretable Machine Learning for Quality Assurance in Radiation Oncology.

Authors: Pillai, Malvika, Adapa, Karthik, Shumway, John W., Dooley, John, Das, Shiva K., Chera, Bhishamjit S., Mazur, Lukasz

Source: Medinfo; 2021, Vol. 290, p460-464, 5p

Subject Terms: MACHINE learning, CONFERENCES & conventions, ACQUISITION of data, MEDICAL errors, AUTOMATION, QUALITY assurance, RESEARCH funding, EMPLOYEES' workload, MEDICAL records, CHI-squared test, RADIOTHERAPY, LOGISTIC regression analysis, RECEIVER operating characteristic curves, ONCOLOGY, ALGORITHMS, PATIENT safety

Evaluating the Telehealth Experience of Patients With COVID-19 Symptoms: Recommendations on Best Practices.

Authors: Khairat, Saif, Pillai, Malvika, Edson, Barbara, Gianforcaro, Robert

Source: Journal of Patient Experience; Oct2020, Vol. 7 Issue 5, p665-672, 8p

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