Fatma Eksi PolatSelçuk Orhan DemirelÖmer KitişFatma ŞimşekDamla İşman HaznedaroǧluKerry Lee CoburnEmre KumralAli Saffet GönülSimsek, FatmaKitis, OmerDemirel, Selcuk OrhanGonul, Ali SaffetHaznedaroglu, Damla IsmanCoburn, KerryPolat, Fatma2025-10-06201218755828, 156720501567-20501875-582810.2174/1567205128024553592-s2.0-84866638414https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866638414&doi=10.2174%2F156720512802455359&partnerID=40&md5=c7e7134327a8b698a37d3417dad3b920https://gcris.yasar.edu.tr/handle/123456789/10173https://doi.org/10.2174/156720512802455359In this study we aimed to classify MR images for recognizing Alzheimer Disease (AD) in a group of patients who were recently diagnosed by clinical history and neuropsychiatric exams by using non-biased machine-learning techniques. T1 weighted MRI scans of 31 patients with probable AD and 31 age- and gender-matched cognitively normal elderly were analyzed with voxel-based morphometry and classified by support vector machine (SVM) a machine learning technique. SVM could differentiate patients from controls with accuracy of 74 % (sensitivity: 70 % and specificity: 77 %) when the whole brain was included the analyses. The classification accuracy was increased to 79 % (sensitivity: 65 % and specificity: 93 %) when the analyses restricted to hippocampus. Our results showed that SVM is a promising tool for diagnosis of AD but needed to be improved. © 2012 Bentham Science Publishers. © 2013 Elsevier B.V. All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Englishinfo:eu-repo/semantics/closedAccessAlzheimer's Disease, Classification, Diagnoses, Hippocampus, Magnetic Resonance Imaging, Support Vector Machines, Magnetom Symphony, Aged, Alzheimer Disease, Article, Clinical Article, Cognition, Controlled Study, Female, Hippocampus, Human, Male, Medical Device, Neuropsychiatry, Nuclear Magnetic Resonance Imaging, Priority Journal, Sensitivity And Specificity, Support Vector Machine, Voxel Based Morphometry, Aged, Aged 80 And Over, Alzheimer Disease, Brain, Case-control Studies, Female, Humans, Image Interpretation Computer-assisted, Image Processing Computer-assisted, Magnetic Resonance Imaging, Male, Middle Aged, Sensitivity And Specificity, Support Vector Machinesaged, Alzheimer disease, article, clinical article, cognition, controlled study, female, hippocampus, human, male, medical device, neuropsychiatry, nuclear magnetic resonance imaging, priority journal, sensitivity and specificity, support vector machine, voxel based morphometry, Aged, Aged 80 and over, Alzheimer Disease, Brain, Case-Control Studies, Female, Humans, Image Interpretation Computer-Assisted, Image Processing Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Sensitivity and Specificity, Support Vector MachinesAlzheimer’s DiseaseMagnetic Resonance ImagingSupport Vector MachinesHippocampusClassificationDiagnosesArticle