Overview

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 clinicTopics we will cover:Health Data (sources, types, features, error handling)Logistics of machine learningWhat predictive model features are, and how to create themA statistical primer, highlighting key machine learning models and conceptsBuild a decision tree, logistic regression and random forest throughOpioid abuse prediction case studyKNIME (a free machine learning software, no coding required!)Assess model performanceOutput presentation and implementation

Skills

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