Results 31 to 40 of about 157,658 (286)
A Comprehensive Benchmark Study on Biomedical Text Generation and Mining with ChatGPT
bioRxiv, 2023 In recent years, the development of natural language process (NLP) technologies and deep learning hardware has led to significant improvement in large language models(LLMs).
Qijie Chen +9 more
semanticscholar +1 more source
A novel multiple kernel fuzzy topic modeling technique for biomedical data
BMC Bioinformatics, 2022 Background Text mining in the biomedical field has received much attention and regarded as the important research area since a lot of biomedical data is in text format.
Junaid Rashid +4 more
doaj +1 more source
TEXT AND DATA MINING FOR BIOMEDICAL DISCOVERY [PDF]
Biocomputing 2013, 2012 The biggest challenge for text and data mining is to truly impact the biomedical discovery process, enabling scientists to generate novel hypothesis to address the most crucial questions. Among a number of worthy submissions, we have selected six papers that exemplify advances in text and data mining methods that have a demonstrated impact on a wide ...
Graciela, Gonzalez +7 more
openaire +2 more sources
Chapter 16: text mining for translational bioinformatics. [PDF]
PLoS Computational Biology, 2013 Text mining for translational bioinformatics is a new field with tremendous research potential. It is a subfield of biomedical natural language processing that concerns itself directly with the problem of relating basic biomedical research to clinical ...
K Bretonnel Cohen, Lawrence E Hunter
doaj +1 more source
International Conference on Bio-inspired Systems and Signal Processing, 2022 Machine learning has demonstrated superior performance in solving many problems in various fields of medicine compared to non-machine learning approaches.
N. Mollaei +3 more
semanticscholar +1 more source
Frontiers of biomedical text mining: current progress. [PDF]
Brief Bioinform, 2007 It is now almost 15 years since the publication of the first paper on text mining in the genomics domain, and decades since the first paper on text mining in the medical domain. Enormous progress has been made in the areas of information retrieval, evaluation methodologies and resource construction.
Zweigenbaum P +3 more
europepmc +4 more sources
The Treasury Chest of Text Mining: Piling Available Resources for Powerful Biomedical Text Mining
The biochemist, 2021 Text mining (TM) is a semi-automatized, multi-step process, able to turn unstructured into structured data. TM relevance has increased upon machine learning (ML) and deep learning (DL) algorithms’ application in its various steps.
N. Rosário-Ferreira +7 more
semanticscholar +1 more source
GNI Corpus Version 1.0: Annotated Full-Text Corpus of to Support Biomedical Information Extraction [PDF]
Genomics & Informatics, 2018 Genomics & Informatics (NLM title abbreviation: Genomics Inform) is the official journal of the Korea Genome Organization. Text corpus for this journal annotated with various levels of linguistic information would be a valuable resource as the process of
So-Yeon Oh +4 more
doaj +1 more source
Contextualizing Genes by Using Text-Mined Co-Occurrence Features for Cancer Gene Panel Discovery
Frontiers in Genetics, 2021 Developing a biomedical-explainable and validatable text mining pipeline can help in cancer gene panel discovery. We create a pipeline that can contextualize genes by using text-mined co-occurrence features.
Hui-O Chen +11 more
doaj +1 more source
Journal of Medical Internet Research, 2023 BackgroundBiomedical relation extraction (RE) is of great importance for researchers to conduct systematic biomedical studies. It not only helps knowledge mining, such as knowledge graphs and novel knowledge discovery, but also ...
Zeyu Zhang +11 more
doaj +1 more source