For a healthcare organisation's objective of predicting disease outbreaks and efficiently allocating resources through the analysis of medical records, would you recommend using supervised learning or unsupervised learning as the preferred machine learning approach ? Explain your choice briefly.
Generated by claude-sonnet-4-6 · 2026-06-21 03:18 · grounding rag
Model Answer
Recommended approach: Supervised Learning
For predicting disease outbreaks and allocating resources, supervised learning is preferred. The organisation has labeled medical records (patient diagnosis, outcomes, disease history), which serve as training data. The model learns patterns from this labeled data to make predictions — a core feature of supervised learning.
Unsupervised learning would be used only if no labels existed and the goal was merely to discover unknown patterns.
Source: Chapter 2, Section 2.2 – Supervised Learning
---
Explanation
- Examiners expect you to name the approach and justify using the key concept (labeled vs. unlabeled data).
- The trigger words in this question are "predicting" (a supervised task) and "medical records" (existing labeled data — diagnoses, outcomes).
- Mentioning why the other approach (unsupervised) is not suitable adds a contrast point and strengthens the answer within the word limit.
- Do not over-explain; two focused points are enough for 2 marks.