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Min-Jeoung Kang
Min-Jeoung Kang
Research Fellow, Harvard Medical School, Dept. of Medicine. Brigham and Women's Hospital
Dirección de correo verificada de bwh.harvard.edu
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Año
Development and validation of early warning score system: A systematic literature review
LH Fu, J Schwartz, A Moy, C Knaplund, MJ Kang, KO Schnock, JP Garcia, ...
Journal of biomedical informatics 105, 103410, 2020
812020
Quantifying and visualizing nursing flowsheet documentation burden in acute and critical care
S Collins, B Couture, MJ Kang, P Dykes, K Schnock, C Knaplund, ...
AMIA Annual Symposium Proceedings 2018, 348, 2018
752018
Predicting pressure injury using nursing assessment phenotypes and machine learning methods
W Song, MJ Kang, L Zhang, W Jung, J Song, DW Bates, PC Dykes
Journal of the American Medical Informatics Association 28 (4), 759-765, 2021
442021
Mining clinical phrases from nursing notes to discover risk factors of patient deterioration
ZT Korach, J Yang, SC Rossetti, KD Cato, MJ Kang, C Knaplund, ...
International journal of medical informatics 135, 104053, 2020
342020
Healthcare process modeling to phenotype clinician behaviors for exploiting the signal gain of clinical expertise (HPM-ExpertSignals): development and evaluation of a …
SC Rossetti, C Knaplund, D Albers, PC Dykes, MJ Kang, TZ Korach, ...
Journal of the American Medical Informatics Association 28 (6), 1242-1251, 2021
242021
Unsupervised machine learning of topics documented by nurses about hospitalized patients prior to a rapid-response event
ZT Korach, KD Cato, SA Collins, MJ Kang, C Knaplund, PC Dykes, ...
Applied Clinical Informatics 10 (05), 952-963, 2019
242019
Detecting language associated with home healthcare patient’s risk for hospitalization and emergency department visit
J Song, M Ojo, KH Bowles, MV McDonald, K Cato, SC Rossetti, V Adams, ...
Nursing research 71 (4), 285-294, 2022
182022
Leveraging clinical expertise as a feature-not an outcome-of predictive models: evaluation of an early warning system use case
SC Rossetti, C Knaplund, D Albers, A Tariq, K Tang, D Vawdrey, NH Yip, ...
AMIA Annual Symposium proceedings 2019, 323, 2019
172019
Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings
KO Schnock, MJ Kang, SC Rossetti, J Garcia, G Lowenthal, C Knaplund, ...
International journal of medical informatics 153, 104525, 2021
162021
Identifying nurses’ concern concepts about patient deterioration using a standard nursing terminology
MJ Kang, PC Dykes, TZ Korach, L Zhou, KO Schnock, J Thate, K Whalen, ...
International journal of medical informatics 133, 104016, 2020
162020
Appropriateness of ICNP in Korean home care nursing
MJ Kang, SL Kim, JE Lee, CY Jung, S Kim
International journal of medical informatics 84 (9), 667-674, 2015
142015
The communicating narrative concerns entered by registered nurses (CONCERN) clinical decision support early warning system: protocol for a cluster randomized pragmatic clinical …
SC Rossetti, PC Dykes, C Knaplund, MJ Kang, K Schnock, JP Garcia Jr, ...
JMIR Research Protocols 10 (12), e30238, 2021
112021
Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods
W Song, L Zhang, L Liu, M Sainlaire, M Karvar, MJ Kang, A Pullman, ...
Journal of the American Medical Informatics Association 29 (10), 1661-1667, 2022
102022
Nursing documentation variation across different medical facilities within an integrated healthcare system
MJ Kang, SC Rossetti, C Knaplund, FY Chang, KO Schnock, K Whalen, ...
CIN: Computers, Informatics, Nursing 39 (12), 845-850, 2021
102021
Developing hierarchical standardized home care nursing statements using nursing standard terminologies
J Lee, MJ Kang, JP Garcia, PC Dykes
International Journal of Medical Informatics 141, 104227, 2020
102020
A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes
C Tang, JM Plasek, H Zhang, MJ Kang, H Sheng, Y Xiong, DW Bates, ...
BMC medical informatics and decision making 19, 1-9, 2019
82019
Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events
LH Fu, C Knaplund, K Cato, A Perotte, MJ Kang, PC Dykes, D Albers, ...
Journal of the American Medical Informatics Association 28 (9), 1955-1963, 2021
72021
Stakeholder analysis for adopting a personal health record standard in Korea
MJ Kang, CY Jung, S Kim, Y Boo, Y Lee, S Kim, Y Choi, EK Lee, S Kim
Health Information Management Journal 44 (2), 33-42, 2015
72015
Development of Ontology for the Diseases of Spine
GH Kim, MJ Kang, CY Jung, JY Jung, SE Jung, JS Kim, JS Jeong, DH Kim, ...
Advances in Computer Science and its Applications: CSA 2013, 1171-1178, 2014
72014
Automated medication error risk assessment system (auto-MERAS)
MJ Kang, Y Jin, T Jin, SM Lee
Journal of Nursing Care Quality 33 (1), 86-93, 2018
62018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20