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学生对 科罗拉多大学系统 提供的 Identifying Patient Populations 的评价和反馈

14 个评分
4 个审阅


This course teaches you the fundamentals of computational phenotyping, a biomedical informatics method for identifying patient populations. In this course you will learn how different clinical data types perform when trying to identify patients with a particular disease or trait. You will also learn how to program different data manipulations and combinations to increase the complexity and improve the performance of your algorithms. Finally, you will have a chance to put your skills to the test with a real-world practical application where you develop a computational phenotyping algorithm to identify patients who have hypertension. You will complete this work using a real clinical data set while using a free, online computational environment for data science hosted by our Industry Partner Google Cloud....



1 - Identifying Patient Populations 的 4 个评论(共 4 个)

创建者 Angela B

May 13, 2019

This is a well-presented course. I highly recommend.

创建者 qianmengxiao

Jun 20, 2019

excellent course.

The first MOOC on computational pheonotying

创建者 Mor K

Jul 22, 2019

Great course, gives a solid understanding of computational phenotyping. Also teaches some R programming!

创建者 William H

Apr 05, 2019

The instructor does a great job of providing hands-on teaching in addition to lecture. However, this course required a lot of knowledge of R, which wasn't provided in the introductory course.