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Record #71242

Enhancing lung cancer detection through hybrid features and machine learning hyperparameters optimization techniques

Journal
Heliyon
Original paper date
Feb 14, 2024
Institution
Center for Software Technology and Management, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia · Health Informatics Laboratory, Cancer Research Institute, Chifeng Cancer Hospital (Second Affiliated Hospital of Chifeng University), Medical Department, Chifeng University, Chifeng City, Inner Mongolia Autonomous Region, 024000, China · Department of Computer System and Technology, Faculty of Computer Science and Information Technology, Universiti Malaya, 50603, Kuala Lumpur, Malaysia · Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, United States · Department of Computer Science, College of Science and Human Studies Dawadmi, Shaqra University, Shaqra, Riyadh, Saudi Arabia · Department of Computer Science and Information Technology, King Abdullah Campus Chatter Kalas, University of Azad Jammu and Kashmir, Muzaffarabad, 13100, Azad Kashmir, Pakistan · Department of Computer Science and Information Technology, Neelum Campus, University of Azad Jammu and Kashmir, Athmuqam, 13230, Azad Kashmir, Pakistan · School of Computer Science and Technology, Zhejiang Normal University, Jinhua, 321004, China · Department of Industrial Engineering and Management, Lucian Blaga University of Sibiu, Bulevardul Victoriei 10, Sibiu, 550024, Romania · Faculty of Engineering, Lucian Blaga University of Sibiu, Bulevardul Victoriei 10, Sibiu, 550024, Romania · Department of Chemical Engineering, College of Engineering, King Khalid University, Abha, 61411, Saudi Arabia · Department of English, College of Science & Humanities, Prince Sattam Bin Abdulaziz University, Saudi Arabia
Open access
No
Article type
Research Article
Broad categories
(B/T) Data Science(HSC) Medicine - Oncology
Citation lifecycle

How this paper is being cited

Pre-retraction
24
Same day
0
Post-retraction
8
% post-retraction
25.0%
~14.7 citations/yr before retraction · ~8.4 citations/yr after
— citing papers

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