Jung In Park
Assistant Professor
Sue & Bill Gross School of Nursing
Sue & Bill Gross School of Nursing
Postdoctoral Scholar, Stanford University, Biomedical Informatics
Ph.D., University of Minnesota, Nursing Informatics
B.S., Seoul National University, Nursing
Ph.D., University of Minnesota, Nursing Informatics
B.S., Seoul National University, Nursing
Email: junginp@hs.uci.edu
University of California, Irvine
854 Health Sciences Rd
Mail Code: 3959
Irvine, CA 92697
854 Health Sciences Rd
Mail Code: 3959
Irvine, CA 92697
Research Interests
Health/Nursing Informatics, Artificial Intelligence, Machine Learning, Predictive Modeling
Websites
Research Abstract
Dr. Jung In Park's research area has focused on health informatics, where she utilizes large datasets and advanced machine learning approaches to provide scientific evidence for improving patient outcomes. She received her PhD in Nursing Informatics from the University of Minnesota, focusing on building machine learning models to predict catheter-associated urinary tract infections using electronic health records. After earning her doctorate, Dr. Park further expanded her expertise as a postdoctoral scholar at Stanford University, specializing in biomedical informatics and health data science. Through her research, Dr. Park aims to bridge the worlds of health care and data science, harnessing the vast potential of big data and AI to drive more informed and personalized decisions.
Publications
Selected Recent Publications (*=data-based)
1. * Park JI, Bliss DZ, Chi C, Delaney CW, Westra BL. Factors Associated with Healthcare-Acquired Catheter-Associated Urinary Tract Infections: Analysis Using Multiple Data Sources and Data Mining Techniques. Journal of Wound Ostomy & Continence Nursing. 2018; 45(2), 168-173.
2. * Park JI, Bliss DZ, Chi C, Delaney CW, Westra BL. Knowledge Discovery with Machine Learning for Hospital-Acquired Catheter-Associated Urinary Tract Infections. CIN: Computers, Informatics, Nursing. 2020; 38(1):28-35.
3. * Chow DS, Glabis-Bloom J, Soun J, Weinberg B, Berens-Loveless T, Xie X, Mutasa S, Monuki E, Park JI, Bota D, Wu J, Thompson L, Boden-Albala B, Kahn S, Amin A, Chang, P. Development and External Validation of a Prognostic Tool for COVID-19 Critical Disease. PLoS ONE. 2020, 15(12): e0242953.
4. * Park JI, Kim D, Lee J, Zheng K, Amin A. Personalized Risk Prediction for 30-Day Readmissions with Venous Thromboembolism Using Machine Learning. Journal of Nursing Scholarship. 2021, 53(3):278-287.
5. * Park JI, Lee GE, Lee S. A Data-Driven Approach to Find the Predictors of Perceived Health Status Among Chinese and Korean Americans. CIN: Computers, Informatics, Nursing. 2023, Jan 26:10-97.
6. * Park JI, Kim D, Park JW, Bozkurt S, Lee S. Evaluation of Race/Ethnicity-Specific Survival Machine Learning Models for Black and Hispanic Breast Cancer Patients. BMJ Health & Care Informatics. 2023, 30(1).
1. * Park JI, Bliss DZ, Chi C, Delaney CW, Westra BL. Factors Associated with Healthcare-Acquired Catheter-Associated Urinary Tract Infections: Analysis Using Multiple Data Sources and Data Mining Techniques. Journal of Wound Ostomy & Continence Nursing. 2018; 45(2), 168-173.
2. * Park JI, Bliss DZ, Chi C, Delaney CW, Westra BL. Knowledge Discovery with Machine Learning for Hospital-Acquired Catheter-Associated Urinary Tract Infections. CIN: Computers, Informatics, Nursing. 2020; 38(1):28-35.
3. * Chow DS, Glabis-Bloom J, Soun J, Weinberg B, Berens-Loveless T, Xie X, Mutasa S, Monuki E, Park JI, Bota D, Wu J, Thompson L, Boden-Albala B, Kahn S, Amin A, Chang, P. Development and External Validation of a Prognostic Tool for COVID-19 Critical Disease. PLoS ONE. 2020, 15(12): e0242953.
4. * Park JI, Kim D, Lee J, Zheng K, Amin A. Personalized Risk Prediction for 30-Day Readmissions with Venous Thromboembolism Using Machine Learning. Journal of Nursing Scholarship. 2021, 53(3):278-287.
5. * Park JI, Lee GE, Lee S. A Data-Driven Approach to Find the Predictors of Perceived Health Status Among Chinese and Korean Americans. CIN: Computers, Informatics, Nursing. 2023, Jan 26:10-97.
6. * Park JI, Kim D, Park JW, Bozkurt S, Lee S. Evaluation of Race/Ethnicity-Specific Survival Machine Learning Models for Black and Hispanic Breast Cancer Patients. BMJ Health & Care Informatics. 2023, 30(1).
Link to this profile
https://faculty.uci.edu/profile/?facultyId=6582
https://faculty.uci.edu/profile/?facultyId=6582
Last updated
03/01/2024
03/01/2024