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

Chi-Hao Liu

4PUBLICATIONS
6CO-AUTHORS
Metabolic medicineHuman biophysicsPredictive and prognostic markersEpigenetics (incl. genome methylation and epigenomics)
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Journal

Publications (4)

Sort by Publication Date:
|Oct 16, 2025
Dual Machine Learning Framework for Predicting Long-Term Glycemic Change and Prediabetes Risk in Young Taiwanese Men.

Chung-Chi Yang, Sheng-Tang Wu, Ta-Wei Chu

|May 14, 2025
Equation Built by Multiple Adaptive Regression Spline to Estimate Biological Age in Healthy Postmenopausal Women in Taiwan.

Chun-Feng Chang, Ta-Wei Chu, Chi-Hao Liu

|May 24, 2024
Machine Learning Prediction of Prediabetes in a Young Male Chinese Cohort with 5.8-Year Follow-Up.

Chi-Hao Liu, Chun-Feng Chang, I-Chien Chen

|Jul 14, 2023
Aging Affects Insulin Resistance, Insulin Secretion, and Glucose Effectiveness in Subjects with Normal Blood Glucose and Body Weight.

Li-Ying Huang, Chi-Hao Liu, Fang-Yu Chen

Pageof 1

Frequent Collaborators

3 joint publications

Ta-Wei Chu

1 joint publications

Pietro Pitrone

1 joint publications

Jhih-Syuan Liu

1 joint publications

Chun-Feng Chang

1 joint publications

Chung-Chi Yang

1 joint publications

Yung-Jen Chuang

Frequent Collaborators

3 joint publications

Ta-Wei Chu

1 joint publications

Pietro Pitrone

1 joint publications

Jhih-Syuan Liu

1 joint publications

Chun-Feng Chang

Top Related Videos

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on : Jan 11, 2020

7.9K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on : Dec 09, 2015

10.6K
See more related videos

Top Related Videos

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on : Jan 11, 2020

7.9K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on : Dec 09, 2015

10.6K
See more related videos