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Machine Learning in Healthcare (no coding required!)
Learn how to apply machine learning techniques in healthcare
This Course Includes
udemy
4.2 (775 reviews )
2h 45m 
english
Online - Self Paced
professional certificate
Udemy
About Machine Learning in Healthcare (no coding required!)
This course will teach you how to work with health data, using machine learning models to find actionable insights.
Through a step-by-step guided case study, you will learn practical skills that you can apply immediately!
We will use a case study:
Opioid Abuse Prediction for a clinic
Topics we will cover: 1.
Health Data
(sources, types, features, error handling) 2.
Logistics
of machine learning 3. What predictive model
features
are, and how to create them 4. A
statistical primer
, highlighting key machine learning models and concepts 5. Build a
decision tree, logistic regression
and
random forest
through 1.
Opioid abuse prediction
case study 2. KNIME (a free machine learning software,
no coding required!
) 6. Assess model
performance
7. Output
presentation
and implementation
What You Will Learn?
- Health data 101 .
- How to plan the analysis and to get buy in .
- What you should know about health data for predictive modeling purposes .
- What predictive model features are, and how to create them .
- Statistical model primer .
- How to build predictive models: step by step guide: using case study .
- How to assess model performance.