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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.
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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  Data: AI-driven prognostics in pediatric bone marrow transplantation: a CAD approach with Bayesian and PSO optimization.
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  Data: <searchLink fieldCode="AU" term="%22Badawy+M%22">Badawy M</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22AbdulAzeem+Y%22">AbdulAzeem Y</searchLink>; School of Computational Sciences and Artificial Intelligence, Zewail City of Science, Technology and Innovation, Giza, 12578, Egypt.<br /><searchLink fieldCode="AU" term="%22ZainEldin+H%22">ZainEldin H</searchLink>; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt.<br /><searchLink fieldCode="AU" term="%22Balaha+HM%22">Balaha HM</searchLink>; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt.; Bioengineering Department, University of Louisville, Louisville, Kentucky, 40292, USA.<br /><searchLink fieldCode="AU" term="%22Bamaqa+A%22">Bamaqa A</searchLink>; Department of Computer Science and Information, Applied College, Taibah University, Medinah, 42353, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22El-Agamy+RF%22">El-Agamy RF</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Sayed+HA%22">Sayed HA</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Elhosseini+MA%22">Elhosseini MA</searchLink>; 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.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101088682 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1472-6947 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214726947%22">14726947 </searchLink><i>NLM ISO Abbreviation: </i>BMC Med Inform Decis Mak <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12911-025-03133-1
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              Text: 2025 Oct 06
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