Assessment of Multidimensional Health Care Parameters for Developing a Virtual Human Generative Model: A Cross-Sectional Study in Japan
April 2023
in “
JMIR Research Protocols
”
alopecia biochemical profiles metabolic profiles bacterial profiles messenger RNA proteome metabolite analyses lifestyle surveys physical function analyses motor function analyses cognitive function analyses vascular function analyses body odor components hair loss biochemical data metabolic data bacterial data mRNA protein analysis metabolite data lifestyle data physical health analysis motor health analysis cognitive health analysis vascular health analysis body odor
TLDR The study aims to create a model to predict health attributes using diverse health data from Japanese adults.
A cross-sectional study was conducted on 1000 adults in Japan, aiming to develop a Virtual Human Generative Model (VHGM) using comprehensive health data. The data included biochemical and metabolic profiles, bacterial profiles, messenger RNA, proteome, and metabolite analyses, lifestyle surveys, physical, motor, cognitive, and vascular function analyses, alopecia analysis, and body odor components. The VHGM will be constructed using a heterogeneous incomplete variational autoencoder (HIVAE) and evaluated based on its ability to predict missing attributes and represent the empirical distribution. The study's findings may reveal unknown relationships among variables, potentially leading to new health care hypotheses and interventions. However, limitations include potential selection bias and the inability to generalize findings to the entire population. The primary sponsor of this study is Kao Corporation (Tokyo, Japan).
