Min-Jeoung Kang

According to our database, Min-Jeoung Kang authored at least 28 papers between 2015 and 2024.

Collaborative distances:

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

2024

The potential for drug incompatibility and its drivers - A hospital wide retrospective descriptive study.

Nahyun Keum, Junsang Yoo, Sujeong Hur, Soo-Yong Shin, Patricia C. Dykes, Min-Jeoung Kang, Yong Seok Lee, Won Chul Cha

Int. J. Medical Informatics, 2024

2022

Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods.

Wenyu Song, Linying Zhang, Luwei Liu, Michael Sainlaire, Mehran Karvar, Min-Jeoung Kang, Avery Pullman, Stuart R. Lipsitz, Anthony F. Massaro, Namrata Patil, Ravi Jasuja, Patricia C. Dykes

J. Am. Medical Informatics Assoc., 2022

Using EHR Data and Machine Learning Methods to Predict Fall Injury.

Wenyu Song, Luwei Liu, Hannah Rice, Michael Sainlaire, Lillian Min, Linying Zhang, Tien Thai, Min-Jeoung Kang, Mica Curtin-Bowen, Stuart R. Lipsitz, Lipika Samal, Nancy Latham, Patricia C. Dykes

Proceedings of the AMIA 2022, 2022

2021

Estimating Time to Progression of Chronic Obstructive Pulmonary Disease With Tolerance.

Chunlei Tang, Joseph M. Plasek, Xiao Shi, Meihan Wan, Haohan Zhang, Min-Jeoung Kang, Liqin Wang, Sevan M. Dulgarian, Yun Xiong, Jing Ma, David W. Bates, Li Zhou

IEEE J. Biomed. Health Informatics, 2021

Predicting pressure injury using nursing assessment phenotypes and machine learning methods.

Wenyu Song, Min-Jeoung Kang, Linying Zhang, Wonkyung Jung, Jiyoun Song, David W. Bates, Patricia C. Dykes

J. Am. Medical Informatics Assoc., 2021

Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework.

Sarah Collins Rossetti, Chris Knaplund, David J. Albers, Patricia C. Dykes, Min-Jeoung Kang, Zfania Tom Korach, Li Zhou, Kumiko Schnock, Jose P. Garcia, Jessica M. Schwartz, Li-heng Fu, Jeffrey G. Klann, Graham Lowenthal, Kenrick Cato

J. Am. Medical Informatics Assoc., 2021

Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events.

Li-heng Fu, Chris Knaplund, Kenrick Cato, Adler J. Perotte, Min-Jeoung Kang, Patricia C. Dykes, David J. Albers, Sarah Collins Rossetti

J. Am. Medical Informatics Assoc., 2021

Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings.

Kumiko O. Schnock, Min-Jeoung Kang, Sarah Collins Rossetti, Jose P. Garcia, Graham Lowenthal, Chris Knaplund, Frank Y. Chang, David J. Albers, Zfania Tom Korach, Li Zhou, Jeffrey G. Klann, Kenrick Cato, David W. Bates, Patricia C. Dykes

Int. J. Medical Informatics, 2021

Predicting Hospitalization of COVID-19 Positive Patients Using Machine Learning Methods.

Wenyu Song, Linying Zhang, Michael Sainlaire, Mehran Karvar, Min-Jeoung Kang, Avery Pullman, Anthony F. Massaro, Namrata Patil, Ravi Jasuja, Patricia C. Dykes

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

Pre- and Intra-COVID-19 Comparison of Nursing Flowsheet Documentation Burden in Acute and Critical Care Units.

Sarah Collins Rossetti, Graham Lowenthal, Christopher Knaplund, Min-Jeoung Kang, Patricia C. Dykes, Sandy Cho, Po-Yin Yen, Kenrick Cato

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

Assessing CONCERN: Analysis of Application Log Files to Investigate the Utilization of a Clinical Decision Support Tool for Identifying Risky Patients.

Amanda J. Moy, Kenrick Cato, Christopher Knaplund, Patricia C. Dykes, Min-Jeoung Kang, Graham Lowenthal, Sarah Collins Rossetti

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

2020

Development and validation of early warning score system: A systematic literature review.

Li-heng Fu, Jessica M. Schwartz, Amanda J. Moy, Christopher Knaplund, Min-Jeoung Kang, Kumiko O. Schnock, Jose P. Garcia, Haomiao Jia, Patricia C. Dykes, Kenrick Cato, David J. Albers, Sarah Collins Rossetti

J. Biomed. Informatics, 2020

Developing hierarchical standardized home care nursing statements using nursing standard terminologies.

Jinhwa Lee, Min-Jeoung Kang, Jose P. Garcia, Patricia C. Dykes

Int. J. Medical Informatics, 2020

Mining clinical phrases from nursing notes to discover risk factors of patient deterioration.

Zfania Tom Korach, Jie Yang, Sarah Collins Rossetti, Kenrick D. Cato, Min-Jeoung Kang, Christopher Knaplund, Kumiko O. Schnock, Jose P. Garcia, Haomiao Jia, Jessica M. Schwartz, Li Zhou

Int. J. Medical Informatics, 2020

Identifying nurses' concern concepts about patient deterioration using a standard nursing terminology.

Min-Jeoung Kang, Patricia C. Dykes, Zfania Tom Korach, Li Zhou, Kumiko O. Schnock, Jennifer Thate, Kimberly Whalen, Haomiao Jia, Jessica M. Schwartz, Jose P. Garcia, Christopher Knaplund, Kenrick D. Cato, Sarah Collins Rossetti

Int. J. Medical Informatics, 2020

Predicting Pressure Injury Using Nursing Assessment Phenotype and Machine Learning Methods.

Wenyu Song, Min-Jeoung Kang, Linying Zhang, Jose P. Garcia, David W. Bates, Patricia C. Dykes

Proceedings of the AMIA 2020, 2020

Mixed-Methods Approaches to Understanding, Measuring, and Reducing Clinical Documentation Burden.

Sarah Collins Rossetti, Amanda J. Moy, Min-Jeoung Kang, Jessica M. Schwartz, Kenrick Cato

Proceedings of the AMIA 2020, 2020

2019

A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes.

Chunlei Tang, Joseph M. Plasek, Haohan Zhang, Min-Jeoung Kang, Haokai Sheng, Yun Xiong, David W. Bates, Li Zhou

BMC Medical Informatics Decis. Mak., 2019

Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event.

Zfania Tom Korach, Kenrick D. Cato, Sarah A. Collins, Min-Jeoung Kang, Christopher Knaplund, Patricia C. Dykes, Liqin Wang, Kumiko O. Schnock, Jose P. Garcia, Haomiao Jia, Frank Y. Chang, Jessica M. Schwartz, Li Zhou

Appl. Clin. Inform., 2019

CONCERN Factorial Design Survey (FDS) Methods Test: Using REDCap as a Survey Platform.

Jose P. Garci Jr., Sarah A. Collins, Kenrick D. Cato, Suzanne Bakken, Haomiao Jia, Min-Jeoung Kang, Christopher Knaplund, Kumiko O. Schnock, Patricia C. Dykes

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Data Reconstruction Based on Temporal Expressions in Clinical Notes.

Zhikun Zhang, Chunlei Tang, Joseph M. Plasek, Yun Xiong, Min-Jeoung Kang, Patricia C. Dykes, David W. Bates, Li Zhou

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case.

Sarah Collins Rossetti, Christopher Knaplund, David J. Albers, Abdul A. Tariq, Kui Tang, David K. Vawdrey, Natalie Yip, Patricia C. Dykes, Jeffrey G. Klann, Min-Jeoung Kang, Jose P. Garcia, Li-heng Fu, Kumiko O. Schnock, Kenrick Cato

Proceedings of the AMIA 2019, 2019

Factorial Design Survey Methodology on REDCap and Qualtrics: A Comparative Analysis.

Jose P. Garcia, Sarah Collins Rossetti, Kenrick Cato, Suzanne R. Bakken, Haomiao Jia, Min-Jeoung Kang, Christopher Knaplund, Patricia C. Dykes

Proceedings of the AMIA 2019, 2019

2018

Patients as Partners in the Hospital Setting: Engagement Methods in Research, Quality Improvement and Beyond.

Susan Hull, Gillian Strudwick, Sarah A. Collins, Patricia C. Dykes, Kumiko O. Schnock, Min-Jeoung Kang

Proceedings of the Nursing Informatics 2018, 2018

Identifying Concepts of Nurses' Concerns Using a Standard Nursing Terminology.

Min-Jeoung Kang, Patricia C. Dykes, Zfania Tom Korach, Li Zhou, Jennifer Thate, Kimberly Whalen, Kumiko O. Schnock, Christopher Knaplund, Brittany Couture, Kenrick Cato, Sarah A. Collins

Proceedings of the AMIA 2018, 2018

Harmonizing Flowsheet Datasets Across EHRs for a Multi-Site Study.

Brittany Couture, Jeffrey G. Klann, Kenrick Cato, Christopher Knaplund, Min-Jeoung Kang, Patricia C. Dykes, Sarah A. Collins

Proceedings of the AMIA 2018, 2018

Quantifying and Visualizing Nursing Flowsheet Documentation Burden in Acute and Critical Care.

Sarah A. Collins, Brittany Couture, Min-Jeoung Kang, Patricia C. Dykes, Kumiko O. Schnock, Christopher Knaplund, Frank Y. Chang, Kenrick Cato

Proceedings of the AMIA 2018, 2018

2015

Appropriateness of ICNP in Korean home care nursing.

Min-Jeoung Kang, Soon-Lae Kim, Jong-Eun Lee, Chai Young Jung, Sukil Kim

Int. J. Medical Informatics, 2015