Sridevi Sridharan

According to our database, Sridevi Sridharan authored at least 10 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., January, 2024

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

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., October, 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., September, 2023

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., September, 2023

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

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

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

Proceedings of the AMIA 2022, 2022

2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2013

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