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Hazardous waste management and one health approach. [PDF]
Front Public HealthPetropoulou P.
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Topic modeling techniques for text mining over large-scale scientific and biomedical text corpus
International Journal of Ambient Computing and Intelligence (IJACI), 2022Topic models are efficient in extracting central themes from large-scale document collection and it is an active research area. The state-of-the-art techniques like Latent Dirichlet Allocation, Correlated Topic Model (CTM), Hierarchical Dirichlet Process
semanticscholar +1 more source
Bioformer: an efficient transformer language model for biomedical text mining
arXiv.org, 2023Pretrained language models such as Bidirectional Encoder Representations from Transformers (BERT) have achieved state-of-the-art performance in natural language processing (NLP) tasks. Recently, BERT has been adapted to the biomedical domain. Despite the
Li Fang +4 more
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Unsupervised and self-supervised deep learning approaches for biomedical text mining
Briefings Bioinform., 2021Biomedical scientific literature is growing at a very rapid pace, which makes increasingly difficult for human experts to spot the most relevant results hidden in the papers.
M. Nadif, François Role
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Discovering New Trends & Connections: Current Applications of Biomedical Text Mining
Medical Reference Services Quarterly, 2021The explosive growth of digital information in recent years has amplified the information overload experienced by today’s health-care professionals.
Tariq Rahaman
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BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining
Industrial Conference on Data Mining, 2021Unsupervised pre-trained language models (PLMs) have boosted the development of effective biomedical text mining models. But the biomedical texts contain a huge number of long-tail concepts and terminologies, which makes further pre-training on ...
Xiaosu Wang +5 more
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Text mining patents for biomedical knowledge
Drug Discovery Today, 2016Biomedical text mining of scientific knowledge bases, such as Medline, has received much attention in recent years. Given that text mining is able to automatically extract biomedical facts that revolve around entities such as genes, proteins, and drugs, from unstructured text sources, it is seen as a major enabler to foster biomedical research and drug
Raul, Rodriguez-Esteban +1 more
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Status of text-mining techniques applied to biomedical text
Drug Discovery Today, 2006Scientific progress is increasingly based on knowledge and information. Knowledge is now recognized as the driver of productivity and economic growth, leading to a new focus on the role of information in the decision-making process. Most scientific knowledge is registered in publications and other unstructured representations that make it difficult to ...
Ramón A-A, Erhardt +2 more
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Text Mining for Bioinformatics Using Biomedical Literature
Encyclopedia of Bioinformatics and Computational Biology, 2019Andre Lamurias, Francisco M. Couto
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