Aya Kawakami
A5100663993- Nutritional Studies and Diet
- Cardiovascular Health and Risk Factors
- Health, Environment, Cognitive Aging
- Obesity, Physical Activity, Diet
- Dietary Effects on Health
- Machine Learning in Healthcare
Kao Corporation (Japan)
2023
Data for healthcare applications are typically customized specific purposes but often difficult to access due high costs and privacy concerns. Rather than prepare separate datasets individual applications, we propose a novel approach: building general-purpose generative model applicable virtually any type of application. This encompasses broad range human attributes, including age, sex, anthropometric measurements, blood components, physical performance metrics, numerous healthcare-related...
<sec> <title>BACKGROUND</title> Human health status can be measured on the basis of many different parameters. Statistical relationships among these parameters will enable several possible care applications and an approximation current individuals, which allow for more personalized preventive by informing potential risks developing interventions. Furthermore, a better understanding modifiable risk factors related to lifestyle, diet, physical activity facilitate design optimal treatment...
Human health status can be measured on the basis of many different parameters. Statistical relationships among these parameters will enable several possible care applications and an approximation current individuals, which allow for more personalized preventive by informing potential risks developing interventions. Furthermore, a better understanding modifiable risk factors related to lifestyle, diet, physical activity facilitate design optimal treatment approaches individuals.This study...