Bmretriever: Tuning large language models as better biomedical text retrievers
Developing effective biomedical retrieval models is important for excelling at knowledge-
intensive biomedical tasks but still challenging due to the deficiency of sufficient publicly …
intensive biomedical tasks but still challenging due to the deficiency of sufficient publicly …
HYDRA: Model Factorization Framework for Black-Box LLM Personalization
Personalization has emerged as a critical research area in modern intelligent systems,
focusing on mining users' behavioral history and adapting to their preferences for delivering …
focusing on mining users' behavioral history and adapting to their preferences for delivering …
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning
Despite their improved capabilities in generation and reasoning, adapting large language
models (LLMs) to the biomedical domain remains challenging due to their immense size …
models (LLMs) to the biomedical domain remains challenging due to their immense size …
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR
Electronic Health Records (EHRs) contain rich patient information and are crucial for clinical
research and practice. In recent years, deep learning models have been applied to EHRs …
research and practice. In recent years, deep learning models have been applied to EHRs …
medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs
Electronic Medical Records (EMRs), while integral to modern healthcare, present
challenges for clinical reasoning and diagnosis due to their complexity and information …
challenges for clinical reasoning and diagnosis due to their complexity and information …
MSDiagnosis: An EMR-based Dataset for Clinical Multi-Step Diagnosis
R Hou, S Chen, Y Fan, L Zhu, J Sun, J Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Clinical diagnosis is critical in medical practice, typically requiring a continuous and evolving
process that includes primary diagnosis, differential diagnosis, and final diagnosis …
process that includes primary diagnosis, differential diagnosis, and final diagnosis …
RetCare: Towards Interpretable Clinical Decision Making through LLM-Driven Medical Knowledge Retrieval
The integration of Electronic Health Record (EHR) data has greatly advanced clinical
decision-making by providing vast amounts of patient information. However, despite …
decision-making by providing vast amounts of patient information. However, despite …