Login / Signup

Personalized Body Constitution Inquiry Based on Machine Learning.

Baochao FanYanghui LiGuihua WenYan RenYantong LuZiying WangYuan ZhangChangjun Wang
Published in: Journal of healthcare engineering (2020)
The proposed method can simulate the doctor's inquiry and pick out personalized questions for patients. It can act as auxiliary diagnosis tools to collect subjective patient feelings and help make further judgments on the patient's BC types.
Keyphrases
  • machine learning
  • end stage renal disease
  • case report
  • ejection fraction
  • chronic kidney disease
  • peritoneal dialysis
  • big data
  • sleep quality