About this Course

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Intermediate Level

Some programming experience in any language.

Approx. 13 hours to complete
English

What you will 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.

Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

Some programming experience in any language.

Approx. 13 hours to complete
English

Offered by

Placeholder

University of Colorado System

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Introduction: Identifying Patient Populations

3 hours to complete
5 videos (Total 23 min), 9 readings, 2 quizzes
5 videos
Introduction to Computational Phenotyping5m
Introduction to Manual Record Review4m
Manual Record Review: Selecting Reviewers and Records6m
Manual Record Review: Tools and Techniques5m
9 readings
Introduction to Specialization Instructors5m
Course Policies5m
Accessing Course Data and Technology Platform15m
Introduction to Course Example15m
Introduction to Manual Record Review10m
Methods - Selecting Reviewers10m
Methods - Selecting Records for Review10m
Methods - Creating Review Instruments and Protocols10m
Methods - Assessing Review Quality10m
2 practice exercises
Week 1 Practice Quiz30m
Week 1 Assessment30m
Week
2

Week 2

3 hours to complete

Tools: Clinical Data Types

3 hours to complete
5 videos (Total 19 min), 2 readings, 2 quizzes
5 videos
Computational Phenotyping: Billing Data5m
Computational Phenotyping: Laboratory Data3m
Computational Phenotyping: Clinical Observations2m
Computational Phenotyping: Medications3m
2 readings
Testing Individual Data Types1h 30m
Note about the Assessment2m
2 practice exercises
Programming Exercises Practice Quiz30m
Week 2 Assessment18m
Week
3

Week 3

3 hours to complete

Techniques: Data Manipulations and Combinations

3 hours to complete
2 videos (Total 15 min), 2 readings, 2 quizzes
2 videos
Combining Multiple Data Types5m
2 readings
Data Manipulations1h 30m
Data Combinations45m
2 practice exercises
Programming Exercises Practice Quiz30m
Week 3 Assessment25m
Week
4

Week 4

1 hour to complete

Techniques: Algorithm Selection and Portability

1 hour to complete
1 video (Total 4 min), 1 reading, 1 quiz
1 reading
Assessing Algorithmic Accuracy, Complexity, and Portability25m
1 practice exercise
Week 4 Assessment20m

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