Predictive analytics has a longstanding tradition in medicine. Developing better prediction models is a critical step in the pursuit of improved health care: we need these tools to guide our decision-making on preventive measures, and individualized treatments. In order to effectively use and develop these models, we must understand them better. In this course, you will learn how to make accurate prediction tools, and how to assess their validity. First, we will discuss the role of predictive analytics for prevention, diagnosis, and effectiveness. Then, we look at key concepts such as study design, sample size and overfitting.Read more.
This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.
The techniques and tools covered in Population Health: Predictive Analytics are most similar to the requirements found in Data Scientist job advertisements.