Which application of supervised learning can help in diagnosing diseases?
Practice Questions
Q1
Which application of supervised learning can help in diagnosing diseases?
Predicting patient outcomes based on historical data
Clustering patients with similar symptoms
Generating synthetic medical images
Analyzing patient demographics
Questions & Step-by-Step Solutions
Which application of supervised learning can help in diagnosing diseases?
Step 1: Understand what supervised learning is. It is a type of machine learning where a model is trained on labeled data.
Step 2: Recognize that in healthcare, we have historical data about patients, including their symptoms and diagnoses.
Step 3: Identify that we can use this historical data to train a model to predict outcomes for new patients.
Step 4: Realize that by inputting a new patient's symptoms into the trained model, it can help predict what disease they might have.
Step 5: Conclude that this process of predicting patient outcomes based on historical data is a direct application of supervised learning in diagnosing diseases.
