A Practical Guide to Knowledge Acquisition
A Practical Guide to Knowledge Acquisition
The Evaluation of a Personalised Health Information System for Patients with Cancer
User Modeling and User-Adapted Interaction
Generating Personalised Patient Information Using the Medical Record
AIME '95 Proceedings of the 5th Conference on Artificial Intelligence in Medicine in Europe: Artificial Intelligence Medicine
Book review: Building Natural Language Generation Systems
Artificial Intelligence in Medicine
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The STOP system generates personalised smoking-cessation letters, using as input responses to a smoking questionnaire. Generating personalised patient-information material is an area of growing interest to the medical community, since for many people changing health-related behaviour is the most effective possible medical intervention. While previous AI systems that generated personalised patient-information material were primarily based on medical knowledge, stop is largely based on knowledge of psychology, empathy, and readability. We believe such knowledge is essential in systems whose goal is to change people's behaviour or mental state; but there are many open questions about how this knowledge should be acquired, represented, and reasoned with.