MeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed

wikidata 2024-11-13

Summary:

Biomedical relation classification has been significantly improved by the application of advanced machine learning techniques on the raw texts of scholarly publications. Despite this improvement, the reliance on large chunks of raw text makes these algorithms suffer in terms of generalization, precision, and reliability. The use of the distinctive characteristics of bibliographic metadata can prove effective in achieving better performance for this challenging task. In this research paper, we...

Link:

https://pubmed.ncbi.nlm.nih.gov/39354632/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1VSjW0JqT_vVo4exSnaEa8DS8viTn4bOW9m_0JY8UcVGX5Esjj&fc=20220129234853&ff=20241113042120&v=2.18.0.post9+e462414

From feeds:

📚BioDBS Bibliography » wikidata

Tags:

Authors:

Houcemeddine Turki, Bonaventure F P Dossou, Chris Chinenye Emezue, Abraham Toluwase Owodunni, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha, Hanen Ben Hassen, Afif Masmoudi

Date tagged:

11/13/2024, 04:21

Date published:

10/01/2024, 06:00