Health Data Science Foundation
Discover the intersection of machine learning and medical applications in this comprehensive course. Learn about health data analysis, neural networks, and their real-world application in healthcare scenarios. Gain hands-on experience through video lectures, programming labs, and assignments. The course culminates in a large project, potentially leading to scientific publications. Enhance your knowledge and skills in developing practical deep learning models for addressing healthcare problems. Join now to explore the cutting-edge methods of computer science in the medical field.
This course is intended for persons involved in machine learning who are interested in medical applications, or vice versa, medical professionals who are interested in the methods modern computer science has to offer to their field. We will cover health data analysis, different types of neural networks, as well as training and application of neural networks applied on real-world medical scenarios.
We cover deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large project.
The first phase of the course will include video lectures on different DL and health applications topics, self-guided labs and multiple homework assignments. In this phase, you will build up your knowledge and experience in developing practical deep learning models on healthcare data. The second phase of the course will be a large project that can lead to a technical report and functioning demo of the deep learning models for addressing some specific healthcare problems. We expect the best projects can potentially lead to scientific publications.
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