Chevron Left
Population Health: Predictive Analytics に戻る

ライデン大学(Universiteit Leiden) による Population Health: Predictive Analytics の受講者のレビューおよびフィードバック

4.5
22件の評価

コースについて

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. Furthermore, we comprehensively discuss important modelling issues such as missing values, non-linear relations and model selection. The importance of the bias-variance tradeoff and its role in prediction is also addressed. Finally, we look at various way to evaluate a model - through performance measures, and by assessing both internal and external validity. We also discuss how to update a model to a specific setting. Throughout the course, we illustrate the concepts introduced in the lectures using R. You need not install R on your computer to follow the course: you will be able to access R and all the example datasets within the Coursera environment. We do however make references to further packages that you can use for certain type of analyses – feel free to install and use them on your computer. Furthermore, each module can also contain practice quiz questions. In these, you will pass regardless of whether you provided a right or wrong answer. You will learn the most by first thinking about the answers themselves and then checking your answers with the correct answers and explanations provided. This course is part of a Master's program Population Health Management at Leiden University (currently in development)....

人気のレビュー

PP

2020年9月13日

Provide lots of useful tips for practical deployment of predictive analytics and also some brief theoretical background. A very well presented course.

TS

2021年1月4日

Helpful course for the ones wanting to discover and understand how predictive analytics can help you in approaching health-related issues.

フィルター:

Population Health: Predictive Analytics: 1 - 10 / 10 レビュー

by Utibe S E

2020年6月11日

by Sergio U

2020年10月4日

by Dwayne R T

2021年2月8日

by PC

2020年9月14日

by Thomas S

2021年1月5日

by Willem G

2020年10月27日

by Tohaku

2021年2月12日

by Fadi G

2021年1月7日

by Phil Y

2022年1月2日

by Melissa M

2022年1月25日