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Identifying Patient Populations

This course is a part of Clinical Data Science, a 6-course Specialization series from Coursera.

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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University of Colorado System

Rating 4.6 based on 3 ratings
Length 6 weeks
Effort 5 weeks of study, 2-4 hours/week
Starts May 18 (8 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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excellent course.The first MOOC on computational pheonotying This is a well-presented course.

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Coursera

&

University of Colorado System

Rating 4.6 based on 3 ratings
Length 6 weeks
Effort 5 weeks of study, 2-4 hours/week
Starts May 18 (8 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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