Gen-Min Lin
Biographic Data
| ID | 8970143 |
|---|---|
| NAME | Gen-Min Lin |
| GIVEN NAMES | Gen-Min |
| FAMILY NAME | Lin |
| SIGNATURE | LIN G |
| AFFILIATIONS | Department of Medicine, Hualien Armed Forces General Hospital, No. 100, Jin-Feng St., Hualien 970, Taiwan |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Classification of “Athlete's Heart” using machine learning of conventional 12-lead ECG
Background Conventional electrocardiographic (ECG) interpretive algorithms often struggle to distinguish physiological cardiovascular adaptations in athletes from cardiac pathology. This study utilized machine learning (ML) to estimate the likelihood of elite 3,000-meter running performance using resting ECG and biological markers within a large military cohort. Methods We analyzed data from 2,296 physically active military males in the Cardiores…
Substance use and incidence of metabolic syndrome before midlife among military adults
Backgrounds: Habitual substance use, i. e., alcohol, tobacco and betel nut, has been found with an increased risk of metabolic syndrome (MetS) in the general population, whereas the association remains unclear in physically fit military personnel. This study aimed to investigate the combination of these substances use and their associations with new-onset MetS in the military. Methods: A total of 2,890 military men and women, aged 18-39 years, wi…
Do the American guideline-based leisure time physical activity levels for civilians benefit the mental health of military personnel
Our findings indicate that participating in moderate-intensity leisure time PA level for ≥150 min/wk. may have a positive effect on mental health among military personnel. The impact appears to be even more significant when engaging in a higher PA level of ≥300 min/wk
Sex-Specific Association between Metabolic Abnormalities and Elevated Alanine Aminotransferase Levels in a Military Cohort
The association of metabolic syndrome (MetS) components with elevated serum alanine aminotransferase (ALT) levels, a marker of hepatic injury, may differ between men and women. However, the sex-specific association in a military young population which has a low prevalence of MetS was unclear. We conducted a cross-sectional examination in 6738 men and 766 women, aged 18-50 years, from the cardiorespiratory fitness study in armed forces (CHIEF) in …
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Sex-Specific Association between Metabolic Abnormalities and Elevated Alanine Aminotransferase Levels in a Military Cohort
The association of metabolic syndrome (MetS) components with elevated serum alanine aminotransferase (ALT) levels, a marker of hepatic injury, may differ between men and women. However, the sex-specific association in a military young population which has a low prevalence of MetS was unclear. We conducted a cross-sectional examination in 6738 men and 766 women, aged 18-50 years, from the cardiorespiratory fitness study in armed forces (CHIEF) in …
Do the American guideline-based leisure time physical activity levels for civilians benefit the mental health of military personnel
Our findings indicate that participating in moderate-intensity leisure time PA level for ≥150 min/wk. may have a positive effect on mental health among military personnel. The impact appears to be even more significant when engaging in a higher PA level of ≥300 min/wk
Substance use and incidence of metabolic syndrome before midlife among military adults
Backgrounds: Habitual substance use, i. e., alcohol, tobacco and betel nut, has been found with an increased risk of metabolic syndrome (MetS) in the general population, whereas the association remains unclear in physically fit military personnel. This study aimed to investigate the combination of these substances use and their associations with new-onset MetS in the military. Methods: A total of 2,890 military men and women, aged 18-39 years, wi…
Classification of “Athlete's Heart” using machine learning of conventional 12-lead ECG
Background Conventional electrocardiographic (ECG) interpretive algorithms often struggle to distinguish physiological cardiovascular adaptations in athletes from cardiac pathology. This study utilized machine learning (ML) to estimate the likelihood of elite 3,000-meter running performance using resting ECG and biological markers within a large military cohort. Methods We analyzed data from 2,296 physically active military males in the Cardiores…
Confidence interval (3 works) · Demography (3 works) · Internal Medicine (3 works) · Medicine (3 works) · Body mass index (2 works) · Cardiorespiratory fitness (2 works) · Cohort (2 works) · Demography (2 works) · Environmental health (2 works) · Fibromyalgia and Chronic Fatigue Syndrome Research (2 works)