Computational Phenotyping: Laboratory Data

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4.5 (30 calificaciones)
  • 5 stars
    70 %
  • 4 stars
    20 %
  • 3 stars
    3,33 %
  • 1 star
    6,66 %
MK
21 de jul. de 2019

Great course, gives a solid understanding of computational phenotyping. Also teaches some R programming!

AB
12 de may. de 2019

This is a well-presented course. I highly recommend.

De la lección
Tools: Clinical Data Types
Understand how different clinical data types can be used to identify patient populations. Begin developing a computational phenotyping algorithm to identify patients with type II diabetes.

Impartido por:

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    Laura K. Wiley, PhD

    Assistant Professor

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