About MIST

MIST represents a cutting-edge machine learning web-based platform that has been intricately crafted to transform the landscape of stroke management and mortality prediction in the context of Malaysia's healthcare. Built upon the foundations of advanced data science and extensive medical knowledge, our platform provides a dependable and all-encompassing solution tailored to the needs of healthcare professionals, researchers, and policymakers committed to improving stroke care and preventive measures.

Key Features

Precision Predictions: Informed Decision-Making:
Precision Predictions Image Informed Decision-Making Image
▸ Harness the power of advanced Support Vector Machine (SVM) modeling to obtain precise stroke mortality predictions based on vital parameters. ▸ Equip clinicians with invaluable insights for personalized patient care, while enabling researchers to refine their studies with real-world data.
Malaysian Population Focus: Policy Guidance:
Malaysian Population Focus Image Policy Guidance Image
▸ Tailored specifically for the Malaysian population, myStrive delivers the most representative stroke outcome predictions, ensuring the highest clinical relevance. ▸ Empower policymakers and non-communicable disease (NCD) epidemiologists with data-driven tools to inform and shape effective healthcare policies for stroke prevention.

The Dynamic Team Behind MIST

Harnessing Collective Expertise for Transformative Healthcare

At MIST, we take pride in the collaborative spirit that underpins our endeavor to advance stroke management and mortality prediction for Malaysia. Our dedicated team is a fusion of talent and knowledge from esteemed institutions, forging a dynamic synergy across universities.

Meet the Visionaries:

Dr. Che Muhammad Nur Hidayat Che Nawi
Dr. Che Muhammad Nur Hidayat Che Nawi
Principal Investigator-MMC 70594
Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia
Professor Dr. Kamarul Imran Musa
Professor Dr. Kamarul Imran Musa
Main Supervisor-MMC 34450
Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia
Dr. Suhaily Mohd Hairon
Dr. Suhaily Mohd Hairon
Co Supervisor-MMC 46733
Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia
Dr. Wan Nur Nafisah Wan Yahya
Associate Prof. Dr. Wan Nur Nafisah Wan Yahya
Co Supervisor-MMC 45329
Department of Internal Medicine, Universiti Kebangsaan Malaysia Medical Centre (UKMMC)
Dr. Wan Asyraf Wan Zaidi
Dr. Wan Asyraf Wan Zaidi
Co Researcher-MMC 50558
Department of Internal Medicine, Universiti Kebangsaan Malaysia Medical Centre (UKMMC)
Dr. Mohd Rohaizat Hassan
Professor Dr. Mohd Rohaizat Hassan
Co Researcher-MMC 35174
Department of Community Health, Faculty of Medicine, National University of Malaysia, Kuala Lumpur, Malaysia

Our Shared Commitment:

As a team, we share a common commitment to excellence, data-driven innovation, and the betterment of healthcare in Malaysia. This partnership serves as a testament to the belief that great strides in healthcare are best achieved through collective wisdom and collaboration.

Together We Strive:

Join us on this transformative journey. Together, we strive to elevate stroke care, empower researchers, inform policymakers, and shape a healthier, brighter future for Malaysia.