Lightweight Multi-Class Support Vector Machine-Based Medical Diagnosis System with Privacy Preservation.

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Bibliographic Details
Title: Lightweight Multi-Class Support Vector Machine-Based Medical Diagnosis System with Privacy Preservation.
Authors: Abdelfattah S; Department of Computer Science and Information Systems, Bradley University, Peoria, IL 61625, USA., Baza M; Department of Computer Science, College of Charleston, Charleston, SC 29424, USA., Mahmoud M; Department of Electrical and Computer Engineering, Tennessee Technological University, Cookeville, TN 38505, USA., Fouda MM; Department of Electrical and Computer Engineering, College of Science and Engineering, Idaho State University, Pocatello, ID 83209, USA.; Center for Advanced Energy Studies (CAES), Idaho Falls, ID 83401, USA., Abualsaud K; Department of Computer Science and Engineering, Qatar University, Doha 2713, Qatar., Yaacoub E; Department of Computer Science and Engineering, Qatar University, Doha 2713, Qatar., Alsabaan M; Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh 11451, Saudi Arabia., Guizani M; Machine Learning Department, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi P.O. Box 131818, United Arab Emirates.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Nov 08; Vol. 23 (22). Date of Electronic Publication: 2023 Nov 08.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1424-8220
DOI:10.3390/s23229033