RETRACTED: Novel method for diagnosis diseases using advanced high-performance machine learning system

Basit Öğe Kaydı
dc.contributor.authorFayez, Mustafa
dc.contributor.authorKurnaz, Sefer
dc.date.accessioned2025-02-06T17:58:24Z
dc.date.available2025-02-06T17:58:24Z
dc.date.issued2021
dc.departmentAltınbaş Üniversitesien_US
dc.description.abstractMachine learning (ML) is also seen as an advanced technique that is only usable by highly qualified specialists. This prohibits this instrument from being utilized by many doctors and biologists in their studies. This paper's purpose is to eradicate this obsolete perception. We claim that the recent creation of advanced high-performance ML techniques helps biomedical researchers to create competitive ML models rapidly without needing in-depth knowledge of the algorithms underlying them. This advanced system is implemented used best programming tool Python including two parts. Firstly, feature engineering and preprocessing with the Neighborhood Cleaning Rule (NCL) high-performance re-sampling procedure. Second, advanced models for high-performance machine learning, including AutoML, advanced XGBoost, and advanced ensemble bagging models. Finally, we believe that our developments would improve the way doctors interpret machine learning utilizing sophisticated and high-performance machine learning technologies and facilitate broad clinical use of Artificial Intelligence (AI) techniques.en_US
dc.identifier.doi10.1007/s13204-021-01990-6
dc.identifier.issn2190-5509
dc.identifier.issn2190-5517
dc.identifier.scopus2-s2.0-85112045665
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1007/s13204-021-01990-6
dc.identifier.urihttps://hdl.handle.net/20.500.12939/5227
dc.identifier.wosWOS:000683237600001
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofApplied Nanoscienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_WOS_20250206
dc.subjectDiagnosis diseasesen_US
dc.subjectNCLen_US
dc.subjectAdvanced Bagging modelsen_US
dc.subjectAdvanced XGBoosten_US
dc.subjectAutoMLen_US
dc.subjectPythonen_US
dc.titleRETRACTED: Novel method for diagnosis diseases using advanced high-performance machine learning systemen_US
dc.typeArticle; Early Access; Retracted Publicationen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu