ML in Health Care: Diagnosis and Treatment
Explore an implementation of machine learning for health care.
We'll cover the following...
In the health care industry, early detection of diseases can significantly improve patient outcomes and reduce treatment costs. Machine learning offers powerful tools to analyze medical data and identify potential health risks before they become serious. In this lesson, we’ll explore how to build a machine learning model for disease risk prediction using medical diagnostic data.
As a data scientist working for a health care technology startup, your task is to develop an early disease risk prediction system that can help medical professionals identify potential health risks based on various patient diagnostic features. This practical exercise will guide you through the entire machine learning pipeline from data preparation to model evaluation. The company wants to create a machine learning model that can help identify potential health risks based on various patient diagnostic features.
Design and implement a machine learning solution that:
Generates or preprocesses medical diagnostic data.
Builds a robust classification model for disease risk prediction. ...