Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning.

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Bibliographic Details
Title: Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning.
Authors: Elhadary M; College of Medicine, QU Health, Qatar University, Doha, Qatar. Electronic address: me1902913@qu.edu.qa., Elshoeibi AM; College of Medicine, QU Health, Qatar University, Doha, Qatar., Badr A; College of Medicine, QU Health, Qatar University, Doha, Qatar., Elsayed B; College of Medicine, QU Health, Qatar University, Doha, Qatar., Metwally O; College of Medicine, QU Health, Qatar University, Doha, Qatar., Elshoeibi AM; School of Medicine, Newgiza University, Giza, Egypt., Mattar M; Internal Medicine and Clinical Hematology, Cairo University, Cairo, Egypt., Alfarsi K; Department of Hematology, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Oman., AlShammari S; Department of Medicine, Faculty of Medicine, Kuwait University, Kuwait, Kuwait., Alshurafa A; Hematology Section, Medical Oncology, National Center for Cancer Care and Research (NCCCR), Hamad Medical Corporation, Doha, Qatar., Yassin M; Hematology Section, Medical Oncology, National Center for Cancer Care and Research (NCCCR), Hamad Medical Corporation, Doha, Qatar. Electronic address: yassin@hamad.qa.
Source: Blood reviews [Blood Rev] 2023 Nov; Vol. 62, pp. 101134. Date of Electronic Publication: 2023 Sep 22.
Publication Type: Journal Article; Review; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 8708558 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-1681 (Electronic) Linking ISSN: 0268960X NLM ISO Abbreviation: Blood Rev Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-1681
DOI:10.1016/j.blre.2023.101134