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.
Este curso faz parte do Programa de cursos integrados Clinical Data Science
oferecido por
Programa de cursos integrados Clinical Data ScienceSistema de Universidades do ColoradoUniversidade do ColoradoInformações sobre o curso
Some programming experience in any language.
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Experimente o Coursera for BusinessO que você vai aprender
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.
Some programming experience in any language.
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Experimente o Coursera for Business
Programa - O que você aprenderá com este curso
Introduction: Identifying Patient Populations
Tools: Clinical Data Types
Techniques: Data Manipulations and Combinations
Techniques: Algorithm Selection and Portability
Avaliações
- 5 stars71,42%
- 4 stars17,14%
- 3 stars2,85%
- 1 star8,57%
Principais avaliações do IDENTIFYING PATIENT POPULATIONS
This is a well-presented course. I highly recommend.
The instructor does a great job of providing hands-on teaching in addition to lecture. However, this course required a lot of knowledge of R, which wasn't provided in the introductory course.
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.
Sobre Programa de cursos integrados Clinical Data Science
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