Predictive Modeling and Transforming Clinical Practice (Coursera)

Predictive Modeling and Transforming Clinical Practice (Coursera)
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Predictive Modeling and Transforming Clinical Practice (Coursera)
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.

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Syllabus


WEEK 1

Introduction: Clinical Prediction Models

Learn about the many types of clinical prediction models that exist and how they are put into practice.


WEEK 2

Tools: Ensuring Model Usability

Understand how qualitative methods can be used to develop clinical prediction models that are more likely to transform clinical practice.


WEEK3

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.


WEEK 4

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.


WEEK 5

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.



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Course Auditing
41.00 EUR

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.