
For years, cardiovascular risk has often been assessed using risk scores developed outside Malaysia. Our local research shows these models do not always reflect Malaysian risk accurately.
At SkyHealth, we use local data and machine learning to improve cardiovascular risk detection, support earlier intervention, and help reduce the burden of preventable heart attacks.
In Malaysia, around 25% of acute coronary syndrome patients are below 50, and national registry data show Malaysians present with ACS at a mean age of 58.5 years. Malaysia also carries the highest age-standardised cardiovascular disease prevalence in ASEAN.
SkyHealth is changing that with machine-learning models designed to improve risk detection and enable earlier, more accurate prevention.
Did you know Malaysia has the highest burden of young heart attacks in South East Asia?
of all our heart attacks happen to those below 50 years old
Localized ACS mortality risk prediction with explainable AI and chatbot support for Asian populations.
From remote cardiac rehabilitation and wellness to education, exercise plans and proactive health coaching in one platform.
Designed for seamless integration, scalable deployment and stronger patient engagement across the cardiovascular journey.
MyHeart Coach
Started as a digital cardiac rehabilitation program and has evolved into a comprehensive wellness and fitness platform.
MyHeart Risk (MHR) Algorithm
A Web-Based Application for ACS Mortality Risk Prediction with Explainable AI and Chatbot Integration for the Asian Population














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239-A, Jalan Bandar 13, Taman Melawati, 53100 Wilayah Persekutuan Kuala Lumpur, Malaysia.
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