University of Colorado Boulder - Identifying Patient Populations
- Offered byCoursera
Identifying Patient Populations at Coursera Overview
Duration | 13 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Identifying Patient Populations at Coursera Highlights
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Identifying Patient Populations at Coursera Course details
- 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.
Identifying Patient Populations at Coursera Curriculum
Introduction: Identifying Patient Populations
Welcome to Identifying Patient Populations
Introduction to Computational Phenotyping
Introduction to Manual Record Review
Manual Record Review: Selecting Reviewers and Records
Manual Record Review: Tools and Techniques
Introduction to Specialization Instructors
Course Policies
Accessing Course Data and Technology Platform
Introduction to Course Example
Introduction to Manual Record Review
Methods - Selecting Reviewers
Methods - Selecting Records for Review
Methods - Creating Review Instruments and Protocols
Methods - Assessing Review Quality
Week 1 Practice Quiz
Week 1 Assessment
Tools: Clinical Data Types
Data Types for Computational Phenotyping
Computational Phenotyping: Billing Data
Computational Phenotyping: Laboratory Data
Computational Phenotyping: Clinical Observations
Computational Phenotyping: Medications
Testing Individual Data Types
Note about the Assessment
Programming Exercises Practice Quiz
Week 2 Assessment
Techniques: Data Manipulations and Combinations
Manipulating Individual Data Types
Combining Multiple Data Types
Data Manipulations
Data Combinations
Programming Exercises Practice Quiz
Week 3 Assessment
Techniques: Algorithm Selection and Portability
Selecting a Final Algorithm
Assessing Algorithmic Accuracy, Complexity, and Portability
Week 4 Assessment
Practical Application: Develop a Computational Phenotyping Algorithm to Identify Patients with Hypertension
Welcome to Practical Applications!
Identifying Patient Populations at Coursera Admission Process
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