Feng-Hsu Wang
Biographic Data
| ID | 7903382 |
|---|---|
| NAME | Feng-Hsu Wang |
| GIVEN NAMES | Feng-Hsu |
| FAMILY NAME | Wang |
| SIGNATURE | WANG F |
| AFFILIATIONS | Ming Chuan University |
| ORCID | 0000-0002-9553-1212 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Interpreting log data through the lens of learning design
The Utility of Artificial Neural Networks for the Non-Invasive Prediction of Metabolic Syndrome Based on Personal Characteristics
This study investigated the diagnostic accuracy of using an artificial neural network (ANN) for the prediction of metabolic syndrome (MetS) based on socioeconomic status and lifestyle factors. The data of 27,415 subjects who went through examinations and answered questionnaires during three stages from 2006 to 2014 at a health institute in Taiwan were collected and analyzed. The repeated measurements over time were set as predictive factors and u…
No prominent works on this page.
The Utility of Artificial Neural Networks for the Non-Invasive Prediction of Metabolic Syndrome Based on Personal Characteristics
This study investigated the diagnostic accuracy of using an artificial neural network (ANN) for the prediction of metabolic syndrome (MetS) based on socioeconomic status and lifestyle factors. The data of 27,415 subjects who went through examinations and answered questionnaires during three stages from 2006 to 2014 at a health institute in Taiwan were collected and analyzed. The repeated measurements over time were set as predictive factors and u…
Interpreting log data through the lens of learning design
Computer Science (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare (1 work) · Artificial neural network (1 work) · Diabetes, Cardiovascular Risks, and Lipoproteins (1 work) · Economics (1 work) · Environmental health (1 work) · Flipped learning (1 work) · Gerontology (1 work) · Health Promotion and Cardiovascular Prevention (1 work)