CPD POINTS

• A2 – 16 (By MMA)

Online via Zoom

Data is transforming healthcare management and delivery, accelerated by the staggering rate at which the volume of medical data continues to increase. However, health data is notable for its complexity and we will not be able to realize its fullest potential, especially in making data-driven diagnostic, treatment and management decisions, unless all stakeholders are competent in both healthcare and data science at a foundational level.

This workshop will introduce the fundamental concepts and principles of data science and machine learning, as well as its application in medicine and healthcare. Participants will explore machine learning approaches, medical use cases and best practices in building and evaluating machine learning models in healthcare. This workshop also empowers medical professionals with knowledge essential to critically evaluating and utilizing healthcare data for various applications.

OBJECTIVES

• Understand the concepts of Data Science and Machine Learning in healthcare settings
• How to conduct data acquisition
• Why is data cleaning important and how it is done for medical data sets
• Understand the inner works of some of the most used statistical models in Medicine
• Learn to build and interact with dashboards, and acquire crucial data management technique

KEYNOTE SPEAKERS

• Dr Ning Guo
  Data Science Specialist
• Prof Zaharin Bin Yusoff
  Professor
• Prof Patrice Francois Boursier
  Professor
• Dr Elaine Chan Wan Ling
  Senior Lecturer