Please use this identifier to cite or link to this item:
https://dspace.ffh.bg.ac.rs/handle/123456789/2044
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kurbalija, Vladimir | en_US |
dc.contributor.author | Geler, Zoltan | en_US |
dc.contributor.author | Stankov, Tijana Vujanić | en_US |
dc.contributor.author | Petrušić, Igor | en_US |
dc.contributor.author | Ivanović, Mirjana | en_US |
dc.contributor.author | Kononenko, Igor | en_US |
dc.contributor.author | Semnic, Marija | en_US |
dc.contributor.author | Daković, Marko | en_US |
dc.contributor.author | Semnic, Robert | en_US |
dc.contributor.author | Bosnić, Zoran | en_US |
dc.date.accessioned | 2023-09-22T07:00:55Z | - |
dc.date.available | 2023-09-22T07:00:55Z | - |
dc.date.issued | 2023-08-11 | - |
dc.identifier.issn | 13865056 | - |
dc.identifier.uri | https://dspace.ffh.bg.ac.rs/handle/123456789/2044 | - |
dc.description.abstract | Age-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.iso | en | en_US |
dc.relation.ispartof | International journal of medical informatics | en_US |
dc.subject | Alzheimer's disease | en_US |
dc.subject | Classification | en_US |
dc.subject | Feature selection | en_US |
dc.subject | Machine learning | en_US |
dc.title | Analysis of neuropsychological and neuroradiological features for diagnosis of Alzheimer's disease and mild cognitive impairment | en_US |
dc.type | Journal Article | en_US |
dc.identifier.doi | 10.1016/j.ijmedinf.2023.105195 | - |
dc.identifier.pmid | 37611363 | - |
dc.identifier.scopus | 2-s2.0-85168420889 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85168420889 | - |
dc.relation.firstpage | 105195 | en_US |
dc.relation.volume | 178 | en_US |
item.cerifentitytype | Publications | - |
item.openairetype | Journal Article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
crisitem.author.orcid | 0000-0002-5412-7328 | - |
crisitem.author.orcid | 0000-0001-7455-5584 | - |
Appears in Collections: | Journal Article |
SCOPUSTM
Citations
1
checked on Dec 29, 2024
Page view(s)
46
checked on Jan 1, 2025
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.