Results 201 to 210 of about 43,712,030 (248)

Consistency in North Korean Medical Academic Research Topics During the COVID-19 Pandemic: A Text Mining Analysis. [PDF]

J Korean Med Sci
Lee EH, Choi M, Park H, Han JH, Yu S, Sempungu JK, Lee YH.   +6 more
europepmc   +1 more source

Artificial intelligence empowering innovation in traditional Chinese medicine. [PDF]

Chin Herb Med
Chen W, Chen S.
europepmc   +1 more source

From prior knowledge to data-informed models: a review of Boolean network inference. [PDF]

Brief Bioinform
Klemmer P, Hemedan AA, Schneider R, Ostaszewski M.   +3 more
europepmc   +1 more source

The Past and Future of Fungal Diagnoses in Health Records: A Comparative Analysis and Harmonization of Mycoses ICD Codes. [PDF]

J Fungi (Basel)
Montoya MC, Esquivel BD, Hoffman MA, Remais JV, White TC.   +4 more
europepmc   +1 more source

Replacement Text for Funding/Support Section.

JAMA
europepmc   +1 more source

@Note: A Workbench for Biomedical Text Mining

Journal of Biomedical Informatics, 2009
Biomedical Text Mining (BioTM) is providing valuable approaches to the automated curation of scientific literature. However, most efforts have addressed the benchmarking of new algorithms rather than user operational needs. Bridging the gap between BioTM researchers and biologists' needs is crucial to solve real-world problems and promote further ...
Sónia Carneiro, Anália Lourenço, Miguel Rocha   +2 more
exaly   +5 more sources

The Treasury Chest of Text Mining: Piling Available Resources for Powerful Biomedical Text Mining

Biochem, 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.
Catarina Marques-Pereira, Vítor Santos Costa, Nícia Rosário-Ferreira   +2 more
exaly   +2 more sources