Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database.

Saved in:
Bibliographic Details
Title: Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database.
Authors: Musa IH; Department of Software Engineering, School of Computer Science and Engineering, Southeast University, Nanjing, China.; Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China., Afolabi LO; 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.; University of Chinese Academy of Sciences, Beijing, China., Zamit I; University of Chinese Academy of Sciences, Beijing, China.; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China., Musa TH; Biomedical Research Institute, Darfur University College, Darfur, Sudan.; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China., Musa HH; Faculty of Medical Laboratory Sciences, University of Khartoum, Khartoum, Sudan., Tassang A; Faculty of Health Sciences, University of Buea, Cameroon.; Buea Regional Hospital, Annex, Cameroon., Akintunde TY; Department of Sociology, School of Public Administration, Hohai University, Nanjing, China., Li W; Department of Quality Management, Children's Hospital of Nanjing Medical University, Nanjing, China.
Source: Cancer control : journal of the Moffitt Cancer Center [Cancer Control] 2023 Jan-Dec; Vol. 30, pp. 10732748231195439.
Publication Type: Letter; Comment
Journal Info: Publisher: SAGE Publishing Country of Publication: United States NLM ID: 9438457 Publication Model: Print Cited Medium: Internet ISSN: 1526-2359 (Electronic) Linking ISSN: 10732748 NLM ISO Abbreviation: Cancer Control Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1526-2359
DOI:10.1177/10732748231195439