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Identifying Patient Populations

Clinical Data Science,

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.
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Rating 4.3 based on 8 ratings
Length 6 weeks
Effort 5 weeks of study, 2-4 hours/week
Starts Jun 28 (22 weeks ago)
Cost $49
From University of Colorado System via Coursera
Instructor Laura K. Wiley, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science
Tags Life Sciences Data Science Data Analysis Public Health

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What people are saying

care.please stop asking money

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.

excellent course.the first mooc

excellent course.The first MOOC on computational pheonotying This is a well-presented course.

no peer reviewers available.not

potential research project will

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.

identifying patient populations with

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.

identify patient population

needs learnt from

providing hands-on teaching

The instructor does a great job of providing hands-on teaching in addition to lecture.

also teaches

Also teaches some R programming!

available so

available.not sure

deliver.course content

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Rating 4.3 based on 8 ratings
Length 6 weeks
Effort 5 weeks of study, 2-4 hours/week
Starts Jun 28 (22 weeks ago)
Cost $49
From University of Colorado System via Coursera
Instructor Laura K. Wiley, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science
Tags Life Sciences Data Science Data Analysis Public Health

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