Analysis of 19.9 million publications from the PubMed/MEDLINE database using artificial intelligence methods: approaches to the generalizations of accumulated data and the phenomenon of "fake news

• Main Authors: I. Yu. Torshin (Author), O. A. Gromova (Author), L. V. Stakhovskaya (Author), N. P. Vanchakova (Author), A. N. Galustyan (Author), Zh. D. Kobalava (Author), T. R. Grishina (Author), A. N. Gromov (Author), I. A. Ilovaiskaya (Author), V. M. Kodentsova (Author), A. G. Kalacheva (Author), O. A. Limanova (Author), V. A. Maksimov (Author), S. I. Malyavskaya (Author), E. V. Mozgovaya (Author), N. I. Tapilskaya (Author), K. V. Rudakov (Author), V. A. Semenov (Author)
• Format: Book
• Published: IRBIS LLC, 2020-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Introduction. The English-language databases PubMed/MEDLINE and Embase are valuable information resources for finding original publications in basic and clinical medicine. Currently, there are no artificial intelligence systems to evaluate the quality of these publications.Aim. Development and testi...