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Computers, Informatics, Nursing : CIN|December 23, 2025
Using Large Language Models to Detect Anxiety and Nausea/Vomiting Documentation in Clinical Notes of Patients With CancerNahid Zeinali, Alaa Albashayreh, Weiguo Fan, et al.Journal of Pain and Symptom Management|May 24, 2024
Symptom-BERT: Enhancing Cancer Symptom Detection in EHR Clinical NotesNahid Zeinali, Alaa Albashayreh, Weiguo Fan, et al.JAMIA Open|September 16, 2024
Using real-world electronic health record data to predict the development of 12 cancer-related symptoms in the context of multimorbidityAnindita Bandyopadhyay, Alaa Albashayreh, Nahid Zeinali, et al.JMIR Cancer|March 19, 2024
Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic ReviewNahid Zeinali, Nayung Youn, Alaa Albashayreh, et al.Applied Clinical Informatics|May 5, 2025
An Informatics Approach to Characterizing Rarely Documented Clinical Information in Electronic Health Records: Spiritual Care as an ExemplarAlaa Albashayreh, Nahid Zeinali, Nanle Joseph Gusen, et al.Applied Clinical Informatics|December 25, 2024
Predictors of Concordance between Patient-Reported and Provider-Documented Symptoms in the Context of Cancer and MultimorbidityStephanie Gilbertson-White, Alaa Albashayreh, Yuwen Ji, et al.JCO Clinical Cancer Informatics|August 8, 2024
Natural Language Processing Accurately Differentiates Cancer Symptom Information in Electronic Health Record NarrativesAlaa Albashayreh, Anindita Bandyopadhyay, Nahid Zeinali, et al.Pageof 1