Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Chung-Feng Liu

Showing results (41-50 of 77) with videos related to

Pageof 8
Sort By:
Diagnostics (Basel, Switzerland)|July 27, 2024
Implementing Explainable Machine Learning Models for Practical Prediction of Early Neonatal HypoglycemiaLin-Yu Wang, Lin-Yen Wang, Mei-I Sung, et al.
Journal of Medical Systems|June 1, 2011
Managing repeat digital radiography images-a systematic approach and improvementWen-Sheng Tzeng, Kuang-Ming Kuo, Chung-Feng Liu, et al.
Journal of Medical Internet Research|July 9, 2026
Prompt-Sensitive Decision Behavior of Large Language Models in Intensive Care Unit Mortality Prediction for Spontaneous Intracerebral Hemorrhage: Comparative Benchmarking StudyJinn-Rung Kuo, Guan-Yu Chen, Xiao-Han Vivian Yap, et al.
BMC Anesthesiology|April 23, 2022
Implementation of a machine learning application in preoperative risk assessment for hip repair surgeryYu-Yu Li, Jhi-Joung Wang, Sheng-Han Huang, et al.
International Journal of Medical Informatics|July 5, 2024
Personalized prediction of intradialytic hypotension in clinical practice: Development and evaluation of a novel AI dashboard incorporating risk factors from previous and current dialysis sessionsI-Ning Yang, Chung-Feng Liu, Chih-Chiang Chien, et al.
Frontiers in Medicine|February 6, 2026
AI prediction of extubation success within a novel three-stage liberation framework: development, validation, and implementation of the Stage-3 modelChin-Ming Chen, Yi-Chen Shao, Chung-Feng Liu, et al.
Iscience|April 5, 2024
Machine learning approaches for practical predicting outpatient near-future AECOPD based on nationwide electronic medical recordsKuang-Ming Liao, Kuo-Chen Cheng, Mei-I Sung, et al.
Frontiers in Neurology|April 21, 2025
Age and pupil size: key predictors of mortality in traumatic brain injury patients with GCS 3Tee-Tau Eric Nyam, Kuan-Chi Tu, Yun-Hsuan Kuo, et al.
International Journal of Medical Informatics|January 7, 2026
Predicting emergency mortality risk in traumatic brain injury: comparative analysis of machine learning and large language model GPT-5Kuan-Chi Tu, Yung-De Kuo, Tee-Tau Eric Nyam, et al.
Diagnostics (Basel, Switzerland)|January 11, 2025
Predictive Modeling of Long-Term Care Needs in Traumatic Brain Injury Patients Using Machine LearningTee-Tau Eric Nyam, Kuan-Chi Tu, Nai-Ching Chen, et al.
Pageof 8

Showing results (41-50 of 77) with videos related to

Sort By:
Pageof 8
Diagnostics (Basel, Switzerland)|July 27, 2024
Implementing Explainable Machine Learning Models for Practical Prediction of Early Neonatal HypoglycemiaLin-Yu Wang, Lin-Yen Wang, Mei-I Sung, et al.
Journal of Medical Systems|June 1, 2011
Managing repeat digital radiography images-a systematic approach and improvementWen-Sheng Tzeng, Kuang-Ming Kuo, Chung-Feng Liu, et al.
Journal of Medical Internet Research|July 9, 2026
Prompt-Sensitive Decision Behavior of Large Language Models in Intensive Care Unit Mortality Prediction for Spontaneous Intracerebral Hemorrhage: Comparative Benchmarking StudyJinn-Rung Kuo, Guan-Yu Chen, Xiao-Han Vivian Yap, et al.
BMC Anesthesiology|April 23, 2022
Implementation of a machine learning application in preoperative risk assessment for hip repair surgeryYu-Yu Li, Jhi-Joung Wang, Sheng-Han Huang, et al.
International Journal of Medical Informatics|July 5, 2024
Personalized prediction of intradialytic hypotension in clinical practice: Development and evaluation of a novel AI dashboard incorporating risk factors from previous and current dialysis sessionsI-Ning Yang, Chung-Feng Liu, Chih-Chiang Chien, et al.
Frontiers in Medicine|February 6, 2026
AI prediction of extubation success within a novel three-stage liberation framework: development, validation, and implementation of the Stage-3 modelChin-Ming Chen, Yi-Chen Shao, Chung-Feng Liu, et al.
Iscience|April 5, 2024
Machine learning approaches for practical predicting outpatient near-future AECOPD based on nationwide electronic medical recordsKuang-Ming Liao, Kuo-Chen Cheng, Mei-I Sung, et al.
Frontiers in Neurology|April 21, 2025
Age and pupil size: key predictors of mortality in traumatic brain injury patients with GCS 3Tee-Tau Eric Nyam, Kuan-Chi Tu, Yun-Hsuan Kuo, et al.
International Journal of Medical Informatics|January 7, 2026
Predicting emergency mortality risk in traumatic brain injury: comparative analysis of machine learning and large language model GPT-5Kuan-Chi Tu, Yung-De Kuo, Tee-Tau Eric Nyam, et al.
Diagnostics (Basel, Switzerland)|January 11, 2025
Predictive Modeling of Long-Term Care Needs in Traumatic Brain Injury Patients Using Machine LearningTee-Tau Eric Nyam, Kuan-Chi Tu, Nai-Ching Chen, et al.
Pageof 8