AI-900: How to use classification models for risk prediction in healthcare

Learn what classification models are and how they can be used to predict the risk of complications for pregnant patients based on data like age and medical conditions.

Question

A hospital wants to categorize patients that are pregnant as low-risk or high-risk regarding complications based on data like patient age and known medical conditions. What kind of machine learning model should the hospital use?

A. Classification
B. Regression
C. Time series forecasting

Answer

A. Classification

Explanation

To predict a category, or class, a classification model can be used.

The correct answer is A. Classification. A classification model is a type of machine learning model that predicts the category or class of an input based on a set of features. For example, a classification model can predict whether an email is spam or not, or whether a tumor is benign or malignant. In this case, the hospital wants to categorize patients that are pregnant as low-risk or high-risk regarding complications based on data like patient age and known medical conditions. These are the features that the model will use to learn from the historical data and make predictions for new patients. The output of the model is a binary class: low-risk or high-risk. Therefore, a classification model is the most suitable choice for this problem.

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