AIMC Topic: Data Mining

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Integrating graph convolutional networks to enhance prompt learning for biomedical relation extraction.

Journal of biomedical informatics
BACKGROUND AND OBJECTIVE: Biomedical relation extraction aims to reveal the relation between entities in medical texts. Currently, the relation extraction models that have attracted much attention are mainly to fine-tune the pre-trained language mode...

CMCN: Chinese medical concept normalization using continual learning and knowledge-enhanced.

Artificial intelligence in medicine
Medical Concept Normalization (MCN) is a crucial process for deep information extraction and natural language processing tasks, which plays a vital role in biomedical research. Although MCN in English has achieved significant research achievements, C...

Advancing Chinese biomedical text mining with community challenges.

Journal of biomedical informatics
OBJECTIVE: This study aims to review the recent advances in community challenges for biomedical text mining in China.

Optimizing biomedical information retrieval with a keyword frequency-driven prompt enhancement strategy.

BMC bioinformatics
BACKGROUND: Mining the vast pool of biomedical literature to extract accurate responses and relevant references is challenging due to the domain's interdisciplinary nature, specialized jargon, and continuous evolution. Early natural language processi...

Artificial intelligence-based data extraction for next generation risk assessment: Is fine-tuning of a large language model worth the effort?

Toxicology
To underpin scientific evaluations of chemical risks, agencies such as the European Food Safety Authority (EFSA) heavily rely on the outcome of systematic reviews, which currently require extensive manual effort. One specific challenge constitutes th...

VAIV bio-discovery service using transformer model and retrieval augmented generation.

BMC bioinformatics
BACKGROUND: There has been a considerable advancement in AI technologies like LLM and machine learning to support biomedical knowledge discovery.

Assessment of EMR ML Mining Methods for Measuring Association between Metal Mixture and Mortality for Hypertension.

High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension
INTRODUCTION: There are limited data available regarding the connection between heavy metal exposure and mortality among hypertension patients.

Adaptive neighborhood triplet loss: enhanced segmentation of dermoscopy datasets by mining pixel information.

International journal of computer assisted radiology and surgery
PURPOSE: The integration of deep learning in image segmentation technology markedly improves the automation capabilities of medical diagnostic systems, reducing the dependence on the clinical expertise of medical professionals. However, the accuracy ...

Joint extraction of Chinese medical entities and relations based on RoBERTa and single-module global pointer.

BMC medical informatics and decision making
BACKGROUND: Most Chinese joint entity and relation extraction tasks in medicine involve numerous nested entities, overlapping relations, and other challenging extraction issues. In response to these problems, some traditional methods decompose the jo...