Predictive analytics has a longstanding tradition in medicine. Developing better prediction models is a critical step in the pursuit of improved health care: we need these tools to guide our decision-making on preventive measures, and individualized treatments. In order to effectively use and develop these models, we must understand them better. In this course, you will learn how to make accurate prediction tools, and how to assess their validity. First, we will discuss the role of predictive analytics for prevention, diagnosis, and effectiveness. Then, we look at key concepts such as study design, sample size and overfitting.
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Population Health: Predictive Analytics
Лейденский университетОб этом курсе
Basic familiarity with R, knowledge of basic statistical concepts. Completing 'Population Health: Responsible Data Analysis' beforehand recommended.
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Попробуйте Coursera для бизнесаЧему вы научитесь
Understand the role of predictive analytics for prevention, diagnosis, and effectiveness
Explain key concepts in prediction modelling: appropriate study design, adequate sample size and overfitting
Understand important issues in model development, such as missing data, non-linear relations and model selection
Know about ways to assess model quality through performance measures and validation
Приобретаемые навыки
- Predictive Analytics
- medical statistics
- R Programming
- Regression Analysis
Basic familiarity with R, knowledge of basic statistical concepts. Completing 'Population Health: Responsible Data Analysis' beforehand recommended.
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнесаот партнера
Программа курса: что вы изучите
Welcome to Leiden University
Prediction for prevention, diagnosis, and effectiveness
Modeling Concepts
Model development
Model validation and updating
Рецензии
- 5 stars77,27 %
- 4 stars9,09 %
- 3 stars9,09 %
- 1 star4,54 %
Лучшие отзывы о курсе POPULATION HEALTH: PREDICTIVE ANALYTICS
Truly one of few MOOCS that is challenging, providing useful knowledge and instruction.
Provide lots of useful tips for practical deployment of predictive analytics and also some brief theoretical background. A very well presented course.
Very Challenging and instructive enjoyed it thank you
Helpful course for the ones wanting to discover and understand how predictive analytics can help you in approaching health-related issues.
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