Acerca de este Curso
Programa Especializado
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Some programming experience in any language.

Horas para completar

Aprox. 21 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English)

Qué aprenderás

  • 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 Especializado
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Some programming experience in any language.

Horas para completar

Aprox. 21 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
Horas para completar
2 horas para completar

Introduction: Identifying Patient Populations

Learn about computational phenotyping and how to use the technique to identify patient populations. ...
Reading
5 videos (Total 23 minutos), 9 readings, 2 quizzes
Video5 videos
Introduction to Computational Phenotyping5m
Introduction to Manual Record Review4m
Manual Record Review: Selecting Reviewers and Records6m
Manual Record Review: Tools and Techniques5m
Reading9 lecturas
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
Quiz2 ejercicios de práctica
Week 1 Practice Quiz8m
Week 1 Assessment16m
Semana
2
Horas para completar
3 horas para completar

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 videos (Total 19 minutos), 2 readings, 2 quizzes
Video5 videos
Computational Phenotyping: Billing Data5m
Computational Phenotyping: Laboratory Data3m
Computational Phenotyping: Clinical Observations2m
Computational Phenotyping: Medications3m
Reading2 lecturas
Testing Individual Data Types30m
Note about the Assessment2m
Quiz2 ejercicios de práctica
Programming Exercises Practice Quiz30m
Week 2 Assessment18m
Semana
3
Horas para completar
3 horas para completar

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 videos (Total 15 minutos), 2 readings, 2 quizzes
Video2 videos
Combining Multiple Data Types5m
Reading2 lecturas
Data Manipulations30m
Data Combinations45m
Quiz2 ejercicios de práctica
Programming Exercises Practice Quiz30m
Week 3 Assessment25m
Semana
4
Horas para completar
1 hora para completar

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 video (Total 4 minutos), 1 reading, 1 quiz
Reading1 lectura
Assessing Algorithmic Accuracy, Complexity, and Portability25m
Quiz1 ejercicio de práctica
Week 4 Assessment20m

Instructor

Avatar

Laura K. Wiley, PhD

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

Acerca de Sistema Universitario de Colorado

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....

Acerca del programa especializado 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

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

  • 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.

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