A wellness tool built using machine learning and data analytics tools to complement doctors in assisting patients to intervene and manage chronic illnesses. MAP’s development is led by Dr Chong Yeh Woei, a practising physician with over 30 years of experience in Internal Medicine.
Using primarily local (i.e. South-East Asian) population data set of several thousand patients, MAP combines qualitative and quantitative models to provide observations on the individual wellbeing.
The quantitative model involves collecting blood parameter data, vital signs and other parameters to establish a snapshot of their metabolic state. In our corporate patients, we obtain three monthly snapshots over a period of six months. We also empower these patients with education and a heath plan to establish their goals in order to improve their health status.
The qualitative model is to use mobile applications to record and observe behavioural / lifestyle habits of the individual. These data are analysed to enable the patient to control their weight and visceral fat via glycemic load and response to their meals as well as response to exercise. The intent is to identify the course of actions required to improve the well-being of the individual.
The MAP is intended for use only for general wellbeing purposes or to encourage or maintain a healthy lifestyle, and is not intended to be used for any medical purpose (such as the detection, diagnosis, monitoring, management or treatment of any medical condition or disease). Any health-related information provided by the MAP should not be treated as medical advice. Please consult a physician for any medical advice required.
Glycated hemoglobin is made when the glucose in the body sticks to the red blood cells. HbA1c measures the amount of glucose attached to hemoglobin (red blood cells). Normally HbA1c is taken every 3 months as the red blood cells typically live for 3 months.
The model provides possible consequences of intervention on HbA1c values over a 3 month period using machine learning and statistical analysis.