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Found 15 papers, 5 papers with code
DoTAT: A Domain-oriented Text Annotation Tool
Secondly, the tool provides annotation of events, nested event and nested entity, which are frequently required in domain-related text structuring tasks.
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine
The emerging trend of advancing generalist artificial intelligence, such as GPTv4 and Gemini, has reshaped the landscape of research (academia and industry) in machine learning and many other research areas.
MedDM:LLM-executable clinical guidance tree for clinical decision-making
To address this issue, we first propose LLM-executavle clinical guidance tree(CGT), which can be directly used by large language models, and construct medical diagnostic decision-making dataset (MedDM), from flowcharts in clinical practice guidelines.
LLM-Mini-CEX: Automatic Evaluation of Large Language Model for Diagnostic Conversation
Despite their alluring technological potential, there is no unified and comprehensive evaluation criterion, leading to the inability to evaluate the quality and potential risks of medical LLMs, further hindering the application of LLMs in medical treatment scenarios.
AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model
Continual pretraining is a popular way of building a domain-specific pretrained language model from a general-domain language model.
FL-Tuning: Layer Tuning for Feed-Forward Network in Transformer
Specifically, we focus on layer tuning for feed-forward network in the Transformer, namely FL-tuning.
Prompt-based Generative Approach towards Multi-Hierarchical Medical Dialogue State Tracking
The dialogue state tracking (DST) module in the medical dialogue system which interprets utterances into the machine-readable structure for downstream tasks is particularly challenging.
A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization
FB merges the similarity come from MTCG and KAR to sort the terminologies from different perspectives.
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text
Entity and relation extraction is the necessary step in structuring medical text.
Question Answering based Clinical Text Structuring Using Pre-trained Language Model
Clinical text structuring is a critical and fundamental task for clinical research.
PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records
Based on the proposed model, we also construct a PatientEG dataset with 191, 294 events, 3, 429 distinct entities, and 545, 993 temporal relations using EMRs from Shanghai Shuguang hospital.
Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions
In this paper, we propose a Residual Dilated Convolutional Neural Network with Conditional Random Field (RD-CNN-CRF) to solve it.
Automatic Severity Classification of Coronary Artery Disease via Recurrent Capsule Network
Coronary artery disease (CAD) is one of the leading causes of cardiovascular disease deaths.
An attention-based Bi-GRU-CapsNet model for hypernymy detection between compound entities
In this paper, we present an attention-based Bi-GRU-CapsNet model to detect hypernymy relationship between compound entities.
Incorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognition
Clinical Named Entity Recognition (CNER) aims to identify and classify clinical terms such as diseases, symptoms, treatments, exams, and body parts in electronic health records, which is a fundamental and crucial task for clinical and translational research.
