Cura-Maker Metabolic Analytics Platform ("MAP")

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 initial focus is on managing the onset of diabetes:
  • Foster a preventive mindset to avoid high cost of managing diabetes by offering wellness tools to increase awareness.
  • Educate, empower and encourage individuals to change their behaviours i.e.using MAP as an agent of change for the individuals if their wellbeing is compromised.
  • MAP’s wellness tools provide observations of the results of the individual’s change in behaviour via easy to understand questionnaires and charts.

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.

Qualitative Indicators

Risk Observation Model

  • The Risk Observation Model is built using:
  • A blend of various internationally accepted questionnaire driven models to analyse an individual’s predisposition to diabetes.
  • Covers areas such as family history, diet & exercise habits to provide an overview of the risk profile of the individual.
Quantitative Indicators

HbA1c (Glycated Hemoglobin) Observation Model

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.

Behind the scenes

Meet the Team


Rooftop Ventures




Contact us via the email address given or the contact form below.


97A Amoy Street
Singapore 069917

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