Informações sobre o curso
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível intermediário

Nível intermediário

Some programming experience in any language.

Horas para completar

Aprox. 21 horas para completar

Sugerido: 5 weeks of study, 2-4 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

O que você vai aprender

  • Check

    Create a computational phenotyping algorithm

  • Check

    Assess algorithm performance in the context of analytic goal.

  • Check

    Create combinations of at least three data types using boolean logic

  • Check

    Explain the impact of individual data type performance on computational phenotyping.

Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível intermediário

Nível intermediário

Some programming experience in any language.

Horas para completar

Aprox. 21 horas para completar

Sugerido: 5 weeks of study, 2-4 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
2 horas para concluir

Introduction: Identifying Patient Populations

Learn about computational phenotyping and how to use the technique to identify patient populations. ...
Reading
2 vídeos (total de (Total 7 mín.) min), 9 leituras, 2 testes
Video2 videos
Introduction to Computational Phenotyping5min
Reading9 leituras
Introduction to Specialization Instructors5min
Course Policies5min
Accessing Course Data and Technology Platform15min
Introduction to Manual Record Review10min
Methods - Selecting Reviewers10min
Methods - Selecting Records for Review10min
Methods - Creating Review Instruments and Protocols10min
Methods - Assessing Review Quality10min
Introduction to Course Example15min
Quiz2 exercícios práticos
Week 1 Practice Quiz8min
Week 1 Assessment16min
Semana
2
Horas para completar
3 horas para concluir

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....
Reading
5 vídeos (total de (Total 19 mín.) min), 2 leituras, 2 testes
Video5 videos
Computational Phenotyping: Billing Data5min
Computational Phenotyping: Laboratory Data3min
Computational Phenotyping: Clinical Observations2min
Computational Phenotyping: Medications3min
Reading2 leituras
Testing Individual Data Types30min
Note about the Assessment2min
Quiz2 exercícios práticos
Programming Exercises Practice Quiz30min
Week 2 Assessment18min
Semana
3
Horas para completar
3 horas para concluir

Techniques: Data Manipulations and Combinations

Learn how to manipulate individual data types and combine multiple data types in computational phenotyping algorithms. Develop a more sophisticated computational phenotyping algorithm to identify patients with type II diabetes....
Reading
2 vídeos (total de (Total 15 mín.) min), 2 leituras, 2 testes
Video2 videos
Combining Multiple Data Types5min
Reading2 leituras
Data Manipulations30min
Data Combinations45min
Quiz2 exercícios práticos
Programming Exercises Practice Quiz30min
Week 3 Assessment25min
Semana
4
Horas para completar
1 hora para concluir

Techniques: Algorithm Selection and Portability

Understand how to select a single "best" computational phenotyping algorithm. Finalize and justify a phenotyping algorithm for type II diabetes....
Reading
1 vídeo (total de (Total 4 mín.) min), 1 leitura, 1 teste
Video1 vídeos
Reading1 leituras
Assessing Algorithmic Accuracy, Complexity, and Portability25min
Quiz1 exercício prático
Week 4 Assessment20min

Instrutores

Avatar

Laura K. Wiley, PhD

Assistant Professor
Division of Biomedical Informatics and Personalized Medicine, Anschutz Medical Campus

Sobre University of Colorado System

The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond....

Sobre o Programa de cursos integrados Clinical Data Science

Are you interested in how to use data generated by doctors, nurses, and the healthcare system to improve the care of future patients? If so, you may be a future clinical data scientist! This specialization provides learners with hands on experience in use of electronic health records and informatics tools to perform clinical data science. This series of six courses is designed to augment learner’s existing skills in statistics and programming to provide examples of specific challenges, tools, and appropriate interpretations of clinical data. By completing this specialization you will know how to: 1) understand electronic health record data types and structures, 2) deploy basic informatics methodologies on clinical data, 3) provide appropriate clinical and scientific interpretation of applied analyses, and 4) anticipate barriers in implementing informatics tools into complex clinical settings. You will demonstrate your mastery of these skills by completing practical application projects using real clinical data. This specialization is supported by our industry partnership with Google Cloud. Thanks to this support, all learners will have access to a fully hosted online data science computational environment for free! Please note that you must have access to a Google account (i.e., gmail account) to access the clinical data and computational environment....
Clinical Data Science

Perguntas Frequentes – FAQ

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • Unfortunately at this time we can only allow students who have access to Google services (e.g., a gmail account) to complete the specialization. This is because we give students access to real clinical data and our privacy protections only allow data sharing through the Google BigQuery environment.

Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.