Natural Language Processing · TEE · papers
Q7a · Healthcare and finance applications
2024-02-12 · re-exam · recovered AI paper
Previous examination · complete worked answers
Question. Explain NLP use cases in healthcare and finance. [10 marks]
Answer
| Domain / task | Input → method → useful output | Example and limit |
|---|---|---|
| Healthcare: clinical extraction | Notes → entity/negation/relation extraction → diagnoses, medicines and doses | Distinguish no fever from fever; clinician review is needed |
| Healthcare: coding and search | Clinical text → classify/retrieve → candidate billing codes or evidence | Coding suggestions are not autonomous diagnoses |
| Healthcare: patient messaging | Patient question → intent + retrieval → approved explanation | Escalate uncertainty and emergencies; protect identifiers |
| Finance: sentiment/event analysis | News/filings → entities/events/sentiment → issuer-specific signals | Distinguish rumor from confirmed earnings; not guaranteed returns |
| Finance: document extraction | Reports/contracts → fields/relations → searchable structured records | Keep source spans and verify amounts/dates |
| Finance: customer support/compliance triage | Messages → intent/classification → routed cases or flagged text | Human investigation is required; a language flag is not proof of wrongdoing |
Acquire permitted text → Clean and preserve context → Extract / classify / retrieve → Evaluate on domain data → Human-reviewed use