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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.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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