Order results by:
Issue | Title | |
Vol 13, No 2 (2020) | 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 | Abstract similar documents |
I. Yu. Torshin, O. A. Gromova, L. V. Stakhovskaya, N. P. Vanchakova, A. N. Galustyan, Zh. D. Kobalava, T. R. Grishina, A. N. Gromov, I. A. Ilovaiskaya, V. M. Kodentsova, A. G. Kalacheva, O. A. Limanova, V. A. Maksimov, S. I. Malyavskaya, E. V. Mozgovaya, N. I. Tapilskaya, K. V. Rudakov, V. A. Semenov | ||
1 - 1 of 1 Items |
Search tips:
- Search terms are case-insensitive
- Common words are ignored
- By default articles containing any term in the query are returned (i.e., OR is implied)
- Make sure that a word exists in an article by prefixing it with +; e.g., +journal +access scholarly academic
- Combine multiple words with AND to find articles containing all terms; e.g., education AND research
- Exclude a word by prefixing it with - or NOT; e.g., online -politics or online NOT politics
- Search for an exact phrase by putting it in quotes; e.g., "open access publishing". Hint: Quoting Chinese or Japanese words will help you to find exact word matches in mixed-language fields, e.g. "中国".
- Use parentheses to create more complex queries; e.g., archive ((journal AND conference) NOT theses)