AI-driven prognostics in pediatric bone marrow transplantation: a CAD approach with Bayesian and PSO optimization.
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| Title: | AI-driven prognostics in pediatric bone marrow transplantation: a CAD approach with Bayesian and PSO optimization. |
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| Authors: | Badawy M; Department of Computer Science and Information, Applied College, Taibah University, Medinah, 42353, Saudi Arabia. engbadawy@mans.edu.eg.; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt. engbadawy@mans.edu.eg., AbdulAzeem Y; School of Computational Sciences and Artificial Intelligence, Zewail City of Science, Technology and Innovation, Giza, 12578, Egypt., ZainEldin H; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt., Balaha HM; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt.; Bioengineering Department, University of Louisville, Louisville, Kentucky, 40292, USA., Bamaqa A; Department of Computer Science and Information, Applied College, Taibah University, Medinah, 42353, Saudi Arabia., El-Agamy RF; Department of Information Systems, College of Computer Science and Engineering, Taibah University, Yanbu, 46421, Saudi Arabia.; Department of Computer Science, Faculty of Science, Tanta University, Tanta, 31527, Egypt., Sayed HA; Department of Information Systems, College of Computer Science and Engineering, Taibah University, Yanbu, 46421, Saudi Arabia.; Department of Computer Science, Faculty of Computers and Information, Assiut University, Assiut, 71516, Egypt., Elhosseini MA; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt.; Department of Information Systems, College of Computer Science and Engineering, Taibah University, Yanbu, 46421, Saudi Arabia. |
| Source: | BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Oct 06; Vol. 25 (1), pp. 363. Date of Electronic Publication: 2025 Oct 06. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1472-6947 |
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| DOI: | 10.1186/s12911-025-03133-1 |
