Laura K. Wiley, PhD
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.
Instructor Details
Courses : 3
Specification: Identifying Patient Populations
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8 reviews for Identifying Patient Populations
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 19 hours |
| Year | 2019 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
FREE
William H –
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.
Angela B –
This is a well–presented course. I highly recommend.
qianmengxiao –
excellent course. The first MOOC on computational pheonotying
Mor K –
Great course, gives a solid understanding of computational phenotyping. Also teaches some R programming!
Vu T T T –
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.
rroddema –
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.
Kazuki Y –
Good course material for studying patient selection methods.
Fidel G –
Great overview of how to identify Patient Population and the in and out of what to look for when you are thinking about your potential research project will involve.