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Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database.
Musa, Ibrahim H; Afolabi, Lukman O; Zamit, Ibrahim; Musa, Taha H; Musa, Hassan H; Tassang, Andrew; Akintunde, Tosin Y; Li, Wei.
Afiliación
  • Musa IH; Department of Software Engineering, School of Computer Science and Engineering, Southeast University, Nanjing, China.
  • Afolabi LO; Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China.
  • Zamit I; Guangdong Immune Cell Therapy Engineering and Technology Research Center, Center for Protein and Cell-Based Drugs, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Musa TH; University of Chinese Academy of Sciences, Beijing, China.
  • Musa HH; University of Chinese Academy of Sciences, Beijing, China.
  • Tassang A; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Akintunde TY; Biomedical Research Institute, Darfur University College, Darfur, Sudan.
  • Li W; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
Cancer Control ; 30: 10732748231195439, 2023.
Article en En | MEDLINE | ID: mdl-37632135
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias Límite: Humans Idioma: En Revista: Cancer Control Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias Límite: Humans Idioma: En Revista: Cancer Control Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA