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 forma parte de Programa especializado: Clinical Data Science
Ofrecido Por
Programa especializado: Clinical Data ScienceSistema Universitario de ColoradoAcerca de este Curso
Some programming experience in any language.
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Prueba Coursera para negociosQué aprenderás
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.
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negocios
Ofrecido por
Programa - Qué aprenderás en este curso
Introduction: Identifying Patient Populations
Tools: Clinical Data Types
Techniques: Data Manipulations and Combinations
Techniques: Algorithm Selection and Portability
Reseñas
- 5 stars71,42 %
- 4 stars17,14 %
- 3 stars2,85 %
- 1 star8,57 %
Principales reseñas sobre IDENTIFYING PATIENT POPULATIONS
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.
This is a well-presented course. I highly recommend.
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.
Acerca de Programa especializado: Clinical Data Science
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
¿Hay ayuda económica disponible?
I live in an area that restricts access to Google products. Will I be able to complete the specialization?
¿Tienes más preguntas? Visita el Centro de Ayuda al Estudiante.
