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Identifying Patient Populations Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

This Identifying Patient Populations offered by Coursera in partnership with University of Colorado System is part of the Clinical Data Science Specialization.

Overview

This Identifying Patient Populations offered by Coursera in partnership with University of Colorado System 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.

Key facts

  • 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.

What you'll learn

  • Create a computational phenotyping algorithm
  • Assess algorithm performance in the context of analytic goal.
  • Create combinations of at least three data types using boolean logic
  • Explain the impact of individual data type performance on computational phenotyping.

Programme Structure

Courses include:

  • Identifying Patient Populations
  • Tools: Clinical Data Types
  • Techniques: Data Manipulations and Combinations
  • Techniques: Algorithm Selection and Portability
  • Practical Application: Develop a Computational Phenotyping Algorithm to Identify Patients with Hypertension

Key information

Duration

  • Part-time
    • 1 months
    • 4 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Intermediate Level

  • Some programming experience in any language.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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