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Found 12 papers, 4 papers with code
Transformer Models for Drug Adverse Effects Detection from Tweets
In this paper we present the drug adverse effects detection system developed during our participation in the Social Media Mining for Health Applications Shared Task 2020.
Semantic Triples Verbalization with Generative Pre-Training Model
The paper devoted to the problem of automatic text generation from RDF triples.
Text Augmentation Techniques in Drug Adverse Effect Detection Task
The paper researches the problem of drug adverse effect detection in texts of social media.
MedSyn: LLM-based Synthetic Medical Text Generation Framework
We use MKG to sample prior medical information for the prompt and generate synthetic clinical notes with GPT-4 and fine-tuned LLaMA models.
End-to-end SYNTAX score prediction: benchmark and methods
The SYNTAX score has become a widely used measure of coronary disease severity , crucial in selecting the optimal mode of revascularization.
GigaPevt: Multimodal Medical Assistant
Building an intelligent and efficient medical assistant is still a challenging AI problem.
Combining Survival Analysis and Machine Learning for Mass Cancer Risk Prediction using EHR data
We test the Survival Ensemble in some studies.
RuMedBench: A Russian Medical Language Understanding Benchmark
The paper describes the open Russian medical language understanding benchmark covering several task types (classification, question answering, natural language inference, named entity recognition) on a number of novel text sets.
Medical Profile Model: Scientific and Practical Applications in Healthcare
The paper researches the problem of representation learning for electronic health records.
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks
We show the importance of this problem in medical community and present comprehensive historical review of the problem and proposed methods.
