Bibliometric analysis of the global scientific production on machine learning applied to different cancer types

  1. Ruiz-Fresneda, M.A.
  2. Gijón, A.
  3. Morales-Álvarez, P.
Revue:
Environmental Science and Pollution Research

ISSN: 1614-7499,  0944-1344

Année de publication: 2023

Volumen: 30

Número: 42

Pages: 96125-96137

Type: Article

DOI: 10.1007/S11356-023-28576-9 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus