Skip navigation
  • Logo
  • Home
  • Communities
    & Collections
  • Research Outputs
  • Researchers
  • Projects
  • Explore by
    • Research Outputs
    • Researchers
    • Projects
  • Sign on to:
    • My DSpace
    • Receive email
      updates
    • Edit Account details
FFH logo

  1. RePhyChem
  2. Research Outputs
  3. Journal Article
Please use this identifier to cite or link to this item: https://dspace.ffh.bg.ac.rs/handle/123456789/2044
DC FieldValueLanguage
dc.contributor.authorKurbalija, Vladimiren_US
dc.contributor.authorGeler, Zoltanen_US
dc.contributor.authorStankov, Tijana Vujanićen_US
dc.contributor.authorPetrušić, Igoren_US
dc.contributor.authorIvanović, Mirjanaen_US
dc.contributor.authorKononenko, Igoren_US
dc.contributor.authorSemnic, Marijaen_US
dc.contributor.authorDaković, Markoen_US
dc.contributor.authorSemnic, Roberten_US
dc.contributor.authorBosnić, Zoranen_US
dc.date.accessioned2023-09-22T07:00:55Z-
dc.date.available2023-09-22T07:00:55Z-
dc.date.issued2023-08-11-
dc.identifier.issn13865056-
dc.identifier.urihttps://dspace.ffh.bg.ac.rs/handle/123456789/2044-
dc.description.abstractAge-related neurodegenerative diseases are constantly increasing with prediction that in 2050 over 60 % of population will suffer from some level of cognitive impairment. A cure for the Alzheimer's disease (AD) does not exist, so early diagnosis is of a great importance. Machine learning techniques can help in early diagnosis with deep medical data processing, disease understanding, intervention analysis and knowledge discovery for achieving better medical decision making.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational journal of medical informaticsen_US
dc.subjectAlzheimer's diseaseen_US
dc.subjectClassificationen_US
dc.subjectFeature selectionen_US
dc.subjectMachine learningen_US
dc.titleAnalysis of neuropsychological and neuroradiological features for diagnosis of Alzheimer's disease and mild cognitive impairmenten_US
dc.typeJournal Articleen_US
dc.identifier.doi10.1016/j.ijmedinf.2023.105195-
dc.identifier.pmid37611363-
dc.identifier.scopus2-s2.0-85168420889-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85168420889-
dc.relation.firstpage105195en_US
dc.relation.volume178en_US
item.cerifentitytypePublications-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
item.languageiso639-1en-
crisitem.author.orcid0000-0002-5412-7328-
crisitem.author.orcid0000-0001-7455-5584-
Appears in Collections:Journal Article
Show simple item record

SCOPUSTM   
Citations

2
checked on Jun 2, 2025

Page view(s)

52
checked on Jun 6, 2025

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Explore by
  • Communities
    & Collections
  • Research Outputs
  • Researchers
  • Projects
University of Belgrade
Faculty of Physical Chemistry
Studentski trg 12-16
11158 Belgrade 118
PAC 105305
SERBIA
University of Belgrade Faculty of Physical Chemistry