Menichetti Giulia,Barábasi Albert-Làszló,Ruppert Peter
申请号：
US201815939946
公开号：
US2018286516(A1)
申请日:
2018.03.29
申请国别(地区):
美国
年份:
2018
代理人:
摘要：
The disclosed systems and methods provide a systematic approach to analyzing an individual's lifestyle factors (e.g., foods consumed by the individual) that contribute to the individual's current or potential for disease, and taking further action based on that analysis. One example embodiment is a machine learning system that includes a food composition layer, chemical compounds layer, and disease layer. The food composition layer provides representations of chemical compounds of foods consumed or to be consumed by the individual. The chemical compounds layer is coupled to the food composition layer by links and filters the representations of the chemical compounds based on genetic or metabolic information of the individual, resulting in representations of personalized filtered chemical compounds. The disease layer is coupled to the chemical compounds layer by links and associates a representation of a disease with representations of the personalized filtered chemical compounds based on a disease module for
