date: 2022-05-03T11:41:48Z pdf:PDFVersion: 1.4 pdf:docinfo:title: Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes xmp:CreatorTool: Adobe InDesign 15.0 (Windows) access_permission:can_print_degraded: true subject: Alzheimer's Research & Therapy, https://doi.org/10.1186/s13195-022-00983-z pdfa:PDFVersion: A-2b xmpMM:History:Action: converted language: en-US dc:format: application/pdf; version=1.4 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Adobe InDesign 15.0 (Windows) access_permission:fill_in_form: true xmpMM:History:When: 2022-03-16T07:33:38Z pdf:encrypted: false dc:title: Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes modified: 2022-05-03T11:41:48Z cp:subject: Alzheimer's Research & Therapy, https://doi.org/10.1186/s13195-022-00983-z xmpMM:History:SoftwareAgent: pdfToolbox pdf:docinfo:custom:CrossMarkDomains[1]: springer.com robots: noindex pdf:docinfo:subject: Alzheimer's Research & Therapy, https://doi.org/10.1186/s13195-022-00983-z xmpMM:History:InstanceID: uuid:d815eea2-570e-43b9-b264-afb6fac18110 pdf:docinfo:creator: Leonie Lampe meta:author: Sebastian Niehaus trapped: False meta:creation-date: 2022-03-16T03:12:59Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: 2022-03-16T03:12:59Z access_permission:extract_for_accessibility: true Creation-Date: 2022-03-16T03:12:59Z pdfaid:part: 2 pdf:docinfo:custom:CrossMarkDomains[2]: springerlink.com pdf:docinfo:custom:doi: 10.1186/s13195-022-00983-z pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Sebastian Niehaus producer: Adobe PDF Library 15.0; modified using iText® 5.3.5 ©2000-2012 1T3XT BVBA (SPRINGER SBM; licensed version) CrossmarkDomainExclusive: true pdf:docinfo:producer: Adobe PDF Library 15.0; modified using iText® 5.3.5 ©2000-2012 1T3XT BVBA (SPRINGER SBM; licensed version) doi: 10.1186/s13195-022-00983-z pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Alzheimer's Research & Therapy, https://doi.org/10.1186/s13195-022-00983-z Keywords: Multi-syndrome classification;Neurodegenerative syndromes;Deep neural network;Comparative analysis;Support vector machine;Random forest;Gradient boosting access_permission:modify_annotations: true dc:creator: Sebastian Niehaus description: Alzheimer's Research & Therapy, https://doi.org/10.1186/s13195-022-00983-z dcterms:created: 2022-03-16T03:12:59Z Last-Modified: 2022-05-03T11:41:48Z dcterms:modified: 2022-05-03T11:41:48Z title: Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes xmpMM:DocumentID: uuid:d815eea2-570e-43b9-b264-afb6fac18110 Last-Save-Date: 2022-05-03T11:41:48Z CrossMarkDomains[1]: springer.com pdf:docinfo:keywords: Multi-syndrome classification;Neurodegenerative syndromes;Deep neural network;Comparative analysis;Support vector machine;Random forest;Gradient boosting pdf:docinfo:modified: 2022-05-03T11:41:48Z meta:save-date: 2022-05-03T11:41:48Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Sebastian Niehaus pdfaid:conformance: B dc:language: en-US dc:subject: Multi-syndrome classification;Neurodegenerative syndromes;Deep neural network;Comparative analysis;Support vector machine;Random forest;Gradient boosting access_permission:assemble_document: true xmpTPg:NPages: 13 pdf:charsPerPage: 3708 access_permission:extract_content: true access_permission:can_print: true pdf:docinfo:trapped: False CrossMarkDomains[2]: springerlink.com meta:keyword: Multi-syndrome classification;Neurodegenerative syndromes;Deep neural network;Comparative analysis;Support vector machine;Random forest;Gradient boosting access_permission:can_modify: true pdf:docinfo:created: 2022-03-16T03:12:59Z CrossmarkMajorVersionDate: 2010-04-23