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Optimized polycystic ovarian disease prognosis and classification using AI based computational appro...

Optimized polycystic ovarian disease prognosis and classification using AI based computational appro...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7558f3f149a948fb97e3e10a20dcbe40

Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data

About this item

Full title

Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data

Publisher

England: BioMed Central Ltd

Journal title

BMC medical informatics and decision making, 2024-10, Vol.24 (1), p.281-22, Article 281

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Polycystic Ovarian Disease or Polycystic Ovary Syndrome (PCOS) is becoming increasingly communal among women, owing to poor lifestyle choices. According to the research conducted by National Institutes of Health, it has been observe that PCOS, an endocrine condition common in women of childbearing age, has become a significant contributing factor t...

Alternative Titles

Full title

Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7558f3f149a948fb97e3e10a20dcbe40

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7558f3f149a948fb97e3e10a20dcbe40

Other Identifiers

ISSN

1472-6947

E-ISSN

1472-6947

DOI

10.1186/s12911-024-02688-9

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