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. Malay, Chinese, Indian) population data set MAP combines qualitative and quantitative models to provide observations on the individuals wellbeing. The qualitative model works as a form of recording and observation of behavioural / lifestyle habits of the individual whilst the quantitative model works as a measure of the outcome arising from such behaviour / lifestyle actions. 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.