PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals.
Ruiyi WangStephanie MilaniJamie C. ChiuShaun M. EackTravis LabrumSamuel M. MurphyNev JonesKate HardyHong ShenFei FangZhiyu Zoey ChenPublished in: CoRR (2024)
Keyphrases
- language model
- mental health
- spinal cord injury
- language modeling
- patient data
- clinical data
- probabilistic model
- n gram
- medical center
- document retrieval
- medical data
- intensive care
- speech recognition
- patient groups
- medical records
- test collection
- retrieval model
- clinical trials
- information retrieval
- query expansion
- medical doctors
- language modelling
- patient records
- smoothing methods
- emergency department
- vital signs
- intensive care unit
- cancer patients
- query terms
- statistical language models
- medical treatment
- blood pressure
- training set
- ad hoc information retrieval
- context sensitive
- relevance model
- language models for information retrieval
- okapi bm
- document ranking
- information retrieval systems
- web search
- translation model
- document collections
- machine learning
- language model for information retrieval