YoVDO

Predictive Modeling and Transforming Clinical Practice

Offered By: University of Colorado System via Coursera

Tags

Predictive Modelling Courses Health Care Courses Predictive Modeling Courses Model Evaluation Courses

Course Description

Overview

This course teaches you the fundamentals of transforming clinical practice using predictive models. This course examines specific challenges and methods of clinical implementation, that clinical data scientists must be aware of when developing their predictive models.

Syllabus

  • Introduction: Clinical Prediction Models
    • Learn about the many types of clinical prediction models that exist and how they are put into practice.
  • Tools: Ensuring Model Usability
    • Understand how qualitative methods can be used to develop clinical prediction models that are more likely to transform clinical practice.
  • Techniques: Model Implementation and Sustainability
    • Learn about the different tools that are used to implement clinical prediction models in practice and the factors that affect implementations over time.
  • Techniques: Data Selection, Model Building, and Evaluation
    • Understand how the different types of clinical data can be used in prediction models and learn how choices made during model construction affect the utility of the model in practice.
  • Practical Application: Developing a Clinical Prediction Model
    • Put your new skills to the test - develop a clinical prediction model to asses risk of death during a stay in an Intensive Care Unit (ICU) stay.

Taught by

Laura K. Wiley, PhD

Tags

Related Courses

Artificial Intelligence Algorithms Models and Limitations
LearnQuest via Coursera
AI 알고리즘 모델과 한계점
LearnQuest via Coursera
Advanced Machine Learning
Higher School of Economics via Coursera
Python aplicado a la Ciencia de Datos
Universidad Anáhuac via edX
Analítica de Datos: visualización, predicción y toma de decisiones Programa de Certificado MasterTrack®
Universidad de los Andes via Coursera