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.
Этот курс входит в специализацию ''Специализация Clinical Data Science'
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Программа курса: что вы изучите
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.
Специализация Clinical Data Science: общие сведения
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!

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