Automating the medication regimen complexity index. - Margaret V. McDonald; Timothy R. Peng; Sridevi Sridharan; Janice B. Foust; Polina Kogan; Liliana E. Pezzin; Penny H. Feldman (J. Am. Medical Informatics Assoc., 2013)

Natural Language Processing Algorithm to Detect Terms Representing Risk of Hospitalization or Emergency Department Visits during Home Health Care. - Jiyoun Song; Marietta Ojo; Margaret V. McDonald; Kenrick Cato; Sarah Collins Rossetti; Yolanda Barrón; Sridevi Sridharan; Sena Chae; Mollie Hobensack; Kathryn H. Bowles; Maxim Topaz (AMIA, 2021)

Is Auto-generated Transcript of Patient-Nurse Communication Ready to Use for Identifying the Risk for Hospitalizations or Emergency Department Visits in Home Health Care? A Natural Language Processing Pilot Study. - Jiyoun Song; Maryam Zolnoori; Danielle Scharp; Sasha Vergez; Margaret V. McDonald; Sridevi Sridharan; Zoran Kostic; Maxim Topaz (AMIA, 2022)

Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians. - Mollie Hobensack; Marietta Ojo; Yolanda Barrón; Kathryn H. Bowles; Kenrick Cato; Sena Chae; Erin E. Kennedy; Margaret V. McDonald; Sarah Collins Rossetti; Jiyoun Song; Sridevi Sridharan; Maxim Topaz (J. Am. Medical Informatics Assoc., 2022)

Clinical notes: An untapped opportunity for improving risk prediction for hospitalization and emergency department visit during home health care. - Jiyoun Song; Mollie Hobensack; Kathryn H. Bowles; Margaret V. McDonald; Kenrick Cato; Sarah Collins Rossetti; Sena Chae; Erin E. Kennedy; Yolanda Barrón; Sridevi Sridharan; Maxim Topaz (J. Biomed. Informatics, 2022)

Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model. - Sena Chae; Anahita Davoudi; Jiyoun Song; Lauren Evans; Mollie Hobensack; Kathryn H. Bowles; Margaret V. McDonald; Yolanda Barrón; Sarah Collins Rossetti; Kenrick Cato; Sridevi Sridharan; Maxim Topaz (J. Am. Medical Informatics Assoc., 2023)

Is the patient speaking or the nurse? Automatic speaker type identification in patient-nurse audio recordings. - Maryam Zolnoori; Sasha Vergez; Sridevi Sridharan; Ali Zolnour; Kathryn H. Bowles; Zoran Kostic; Maxim Topaz (J. Am. Medical Informatics Assoc., 2023)

Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care. - Jiyoun Song; Se Hee Min; Sena Chae; Kathryn H. Bowles; Margaret V. McDonald; Mollie Hobensack; Yolanda Barrón; Sridevi Sridharan; Anahita Davoudi; Sungho Oh; Lauren Evans; Maxim Topaz (J. Am. Medical Informatics Assoc., 2023)

Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure. - Anahita Davoudi; Sena Chae; Lauren Evans; Sridevi Sridharan; Jiyoun Song; Kathryn H. Bowles; Margaret V. McDonald; Maxim Topaz (Int. J. Medical Informatics, 2024)

Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare. - Maryam Zolnoori; Sridevi Sridharan; Ali Zolnour; Sasha Vergez; Margaret V. McDonald; Zoran Kostic; Kathryn H. Bowles; Maxim Topaz (J. Am. Medical Informatics Assoc., 2024)

Beyond electronic health record data: leveraging natural language processing and machine learning to uncover cognitive insights from patient-nurse verbal communications. - Maryam Zolnoori; Ali Zolnour; Sasha Vergez; Sridevi Sridharan; Ian Spens; Maxim Topaz; James M. Noble; Suzanne Bakken; Julia Hirschberg; Kathryn H. Bowles; Nicole Onorato; Margaret V. McDonald (J. Am. Medical Informatics Assoc., 2025)