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Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model

Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_19bba3fe324047979ba25965b3a26a36

Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model

About this item

Full title

Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-01, Vol.12 (1), p.1000-1000, Article 1000

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Blood cancer has been a growing concern during the last decade and requires early diagnosis to start proper treatment. The diagnosis process is costly and time-consuming involving medical experts and several tests. Thus, an automatic diagnosis system for its accurate prediction is of significant importance. Diagnosis of blood cancer using leukemia...

Alternative Titles

Full title

Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_19bba3fe324047979ba25965b3a26a36

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_19bba3fe324047979ba25965b3a26a36

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-04835-6

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