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學生對 科罗拉多大学系统 提供的 Identifying Patient Populations 的評價和反饋

15 個評分
4 個審閱


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....



Jun 20, 2019

excellent course.\n\nThe first MOOC on computational pheonotying


May 13, 2019

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


1 - Identifying Patient Populations 的 5 個評論(共 5 個)

創建者 Angela B

May 13, 2019

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

創建者 qianmengxiao

Jun 20, 2019

excellent course.

The first MOOC on computational pheonotying

創建者 Mor K

Jul 22, 2019

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

創建者 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.

創建者 Vu T T T

Sep 14, 2019

A good course on identifying patient populations with R. However, some concepts/use of functions in R programming do not get explained and needs learning from other sources.

Course 4, 5 and 6 have not been made available so you might want to check their availability before planning to pursue the entire specialization.