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Bespoke Large Language Models for Digital Triage Assistance in Mental Health Care

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Large language models encode clinical knowledge
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Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
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Explainable artificial intelligence for mental health through transparency and interpretability for understandability
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MLaaS: Machine Learning as a Service
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Poisoning Web-Scale Training Datasets is Practical
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Clinical Prompt Learning With Frozen Language Models
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ChatGPT and mental healthcare: balancing benefits with risks of harms
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A qualitative study of referral to community mental health teams in the UK: exploring the rhetoric and the reality
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Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
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PLM-ICD: Automatic ICD Coding with Pretrained Language Models
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Explainable Prediction of Medical Codes from Clinical Text
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Publicly Available Clinical
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Ethical Considerations of Using ChatGPT in Health Care
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A Label Attention Model for ICD Coding from Clinical Text
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National Prescription Patterns of Antidepressants in the Treatment of Adults With Major Depression in the US Between 1996 and 2015: A Population Representative Survey Based Analysis
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Exploiting Generative AI to Scale up Intelligent Tutoring Systems
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ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
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Longformer: The Long-Document Transformer
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Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
inferredcites →https://doi.org/10.48550/arxiv.2012.07805openalex-extracted
Extracting Training Data from Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2106.09685openalex-extracted
LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency
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Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences
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PaLM: Scaling Language Modeling with Pathways
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Behavioral Safety and Context Retention of Large Language Models in a Longitudinal ICU Simulation under Offline Conditions
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