Editorial: Application of Machine Learning in the Diagnosis of Dementia
| dc.contributor.author | Sakatani, Kaoru | |
| dc.contributor.author | Yener, Görsev | |
| dc.date.accessioned | 2023-06-16T14:40:54Z | |
| dc.date.available | 2023-06-16T14:40:54Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | [Abstract Not Available] | en_US |
| dc.identifier.doi | 10.3389/fneur.2022.860607 | |
| dc.identifier.issn | 1664-2295 | |
| dc.identifier.scopus | 2-s2.0-85133436123 | |
| dc.identifier.uri | https://doi.org/10.3389/fneur.2022.860607 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/2509 | |
| dc.language.iso | en | en_US |
| dc.publisher | Frontiers Media Sa | en_US |
| dc.relation.ispartof | Frontıers in Neurology | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | machine learning | en_US |
| dc.subject | dementia | en_US |
| dc.subject | blood test | en_US |
| dc.subject | MRI | en_US |
| dc.subject | NIRS (near infrared reflectance spectroscopy) | en_US |
| dc.subject | MMSE | en_US |
| dc.subject | deep learning | en_US |
| dc.subject | diagnosis | en_US |
| dc.title | Editorial: Application of Machine Learning in the Diagnosis of Dementia | en_US |
| dc.type | Editorial | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Yener, Gorsev/0000-0002-7756-4387 | |
| gdc.author.scopusid | 7007050003 | |
| gdc.author.scopusid | 7003804891 | |
| gdc.author.wosid | Yener, Gorsev/B-5142-2018 | |
| gdc.bip.impulseclass | C5 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C5 | |
| gdc.coar.access | open access | |
| gdc.coar.type | text::journal::editorial | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | İzmir Ekonomi Üniversitesi | en_US |
| gdc.description.departmenttemp | [Sakatani, Kaoru] Univ Tokyo, Grad Sch Frontier Sci, Dept Human & Engn Environm Studies, Tokyo, Japan; [Yener, Gorsev] Izmir Univ Econ, Fac Med, Izmir, Turkey | en_US |
| gdc.description.publicationcategory | Diğer | en_US |
| gdc.description.scopusquality | Q2 | |
| gdc.description.volume | 13 | en_US |
| gdc.description.wosquality | Q2 | |
| gdc.identifier.openalex | W4281632519 | |
| gdc.identifier.pmid | 35756938 | |
| gdc.identifier.wos | WOS:000815028300001 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.index.type | PubMed | |
| gdc.oaire.accesstype | GOLD | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 0.0 | |
| gdc.oaire.influence | 2.4895952E-9 | |
| gdc.oaire.isgreen | true | |
| gdc.oaire.keywords | machine learning | |
| gdc.oaire.keywords | Neurology | |
| gdc.oaire.keywords | blood test | |
| gdc.oaire.keywords | Neurology. Diseases of the nervous system | |
| gdc.oaire.keywords | NIRS (near infrared reflectance spectroscopy) | |
| gdc.oaire.keywords | RC346-429 | |
| gdc.oaire.keywords | MMSE | |
| gdc.oaire.keywords | dementia | |
| gdc.oaire.keywords | MRI | |
| gdc.oaire.popularity | 1.7808596E-9 | |
| gdc.oaire.publicfunded | false | |
| gdc.openalex.collaboration | International | |
| gdc.openalex.fwci | 0.13456452 | |
| gdc.openalex.normalizedpercentile | 0.4 | |
| gdc.opencitations.count | 0 | |
| gdc.plumx.mendeley | 5 | |
| gdc.plumx.newscount | 1 | |
| gdc.plumx.scopuscites | 2 | |
| gdc.scopus.citedcount | 2 | |
| gdc.virtual.author | Yener, Görsev | |
| gdc.wos.citedcount | 0 | |
| relation.isAuthorOfPublication | f741508b-9a68-47a0-97eb-df11e5d0e28b | |
| relation.isAuthorOfPublication.latestForDiscovery | f741508b-9a68-47a0-97eb-df11e5d0e28b | |
| relation.isOrgUnitOfPublication | fb5b4042-739a-4880-8e29-a9adb71d6492 | |
| relation.isOrgUnitOfPublication | fbc53f3e-d1d3-4168-afd8-e42cd20bddd9 | |
| relation.isOrgUnitOfPublication | e9e77e3e-bc94-40a7-9b24-b807b2cd0319 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | fb5b4042-739a-4880-8e29-a9adb71d6492 |
Files
Original bundle
1 - 1 of 1
