Question

Which best defines supervised machine learning in the context of pharmacy practice?

a.
Training a model without labeled data to identify patterns in patient populations
b.
Using structured, labeled datasets to predict outcomes such as drug response or readmission risk
c.
Allowing an algorithm to generate new synthetic patient data without prior labeling
d.
Training models solely via pharmacist expertise without patient data

Answer 1

b. Using structured, labeled datasets to predict outcomes such as drug response or readmission risk

Explanation: Supervised learning trains models on input–output pairs (labeled data) so they can predict outcomes for new patients (e.g., drug response, adverse events, readmission risk).