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

Hualong Liao

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Journal of Obstetrics and Gynaecology : the Journal of the Institute of Obstetrics and Gynaecology|August 16, 2021
LightGBM: an efficient and accurate method for predicting pregnancy diseasesHualong Liao, Xinyuan Zhang, Can Zhao, et al.
Endocrine Practice : Official Journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists|April 4, 2026
Sarcopenia and Mortality, Cardiovascular and Renal Outcomes in Type 2 Diabetes: A Systematic Review and Meta-AnalysisJuan Du, Xiaoyu Shu, Taiping Lin, et al.
Scientific Reports|October 30, 2025
Plantar pressure distribution can be used to identify sarcopenia in maintenance hemodialysis patientsYujie Yang, Hualong Liao, Yang Chen, et al.
International Urology and Nephrology|May 25, 2023
A machine learning-based assistant tool for early frailty screening of patients receiving maintenance hemodialysisWenmei Lv, Hualong Liao, Xue Wang, et al.
BMC Nephrology|May 19, 2025
Gender-specific sarcopenia screening in hemodialysis: insights from lower limb strength and physiological indicatorsYujie Yang, Hualong Liao, Yang Chen, et al.
Frontiers in Public Health|February 16, 2026
The risk prediction models for sarcopenia in older adults: a systematic review and critical appraisalTaiping Lin, Hualong Liao, Lin Su, et al.
BMC Nephrology|February 15, 2023
Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patientsHualong Liao, Yujie Yang, Ying Zeng, et al.
Journal of the American Medical Directors Association|July 8, 2024
Development and Validation of PRE-SARC (PREdiction of SARCopenia Risk in Community Older Adults) Sarcopenia Prediction ModelTaiping Lin, Rui Liang, Quhong Song, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Obstetrics and Gynaecology : the Journal of the Institute of Obstetrics and Gynaecology|August 16, 2021
LightGBM: an efficient and accurate method for predicting pregnancy diseasesHualong Liao, Xinyuan Zhang, Can Zhao, et al.
Endocrine Practice : Official Journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists|April 4, 2026
Sarcopenia and Mortality, Cardiovascular and Renal Outcomes in Type 2 Diabetes: A Systematic Review and Meta-AnalysisJuan Du, Xiaoyu Shu, Taiping Lin, et al.
Scientific Reports|October 30, 2025
Plantar pressure distribution can be used to identify sarcopenia in maintenance hemodialysis patientsYujie Yang, Hualong Liao, Yang Chen, et al.
International Urology and Nephrology|May 25, 2023
A machine learning-based assistant tool for early frailty screening of patients receiving maintenance hemodialysisWenmei Lv, Hualong Liao, Xue Wang, et al.
BMC Nephrology|May 19, 2025
Gender-specific sarcopenia screening in hemodialysis: insights from lower limb strength and physiological indicatorsYujie Yang, Hualong Liao, Yang Chen, et al.
Frontiers in Public Health|February 16, 2026
The risk prediction models for sarcopenia in older adults: a systematic review and critical appraisalTaiping Lin, Hualong Liao, Lin Su, et al.
BMC Nephrology|February 15, 2023
Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patientsHualong Liao, Yujie Yang, Ying Zeng, et al.
Journal of the American Medical Directors Association|July 8, 2024
Development and Validation of PRE-SARC (PREdiction of SARCopenia Risk in Community Older Adults) Sarcopenia Prediction ModelTaiping Lin, Rui Liang, Quhong Song, et al.
Pageof 1