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Identifying Patient Populations(으)로 돌아가기

콜로라도 대학교의 Identifying Patient Populations 학습자 리뷰 및 피드백

17개의 평가
6개의 리뷰

강좌 소개

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....

최상위 리뷰


Jun 20, 2019

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


May 13, 2019

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

필터링 기준:

Identifying Patient Populations의 6개 리뷰 중 1~6

교육 기관: Angela B

May 13, 2019

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

교육 기관: qianmengxiao

Jun 20, 2019

excellent course.

The first MOOC on computational pheonotying

교육 기관: Mor K

Jul 22, 2019

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

교육 기관: 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.

교육 기관: Vu T T T

Sep 16, 2019

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

Courses 4, 5 and 6 are not available so cannot complete the entire specialization.

교육 기관: rroddema

Sep 16, 2019

I am simply not able to finish the course because no peer reviewers available.

Not sure who is responsible but as a student I do not care.

Please stop asking money when you cannot deliver.

Course content is very good.