Abstract: Disclosed are a method and a system using user personal, CBC, CMP and Lipid Panel data to detect a user acute myocardial infarction (AMI) risk and help user monitor AMI risk. Most AMI risk screening and diagnosis are related with the markers, video, image data, etc. although past researches have shown that serum albumin, RBC, MCV, MPV and PDW are all significantly correlated with AMI risk, use of the blood test results of CBC, CMP and Lipid Panel data to detect and monitor AMI risk has never been reported. Traditionally, AMI risk detecting and monitoring have been managed by doctors and hospitals and a user is unable to do it by himself or herself. The purpose of this invention is to provide an intelligent AMI risk detecting and monitoring system enabling users to detect and monitor AMI risk.

Abstract: Disclosed are a method and a system using user personal, CBC, CMP and Lipid Panel data to predict a user stroke risk and help user monitor the stroke risk. Most stroke screening and diagnosis are related with the markers, video, image data, etc. although past researches have shown that serum albumin, RBC, MCV, MPV and PDW are all significantly correlated with stroke, use of the blood test results of CBC, CMP and Lipid Panel data to predict and monitor stroke risk has never been reported. Traditionally, stroke risk prediction and monitoring have been managed by doctors and hospitals and a user is unable to do it by himself or herself. The purpose of this invention is to provide an intelligent stroke risk prediction and monitoring system enabling users to predict and monitor the stroke risk.