Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence.

Saved in:
Bibliographic Details
Title: Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence.
Authors: Elmannai, Hela1 (AUTHOR), El-Rashidy, Nora2 (AUTHOR), Mashal, Ibrahim3 (AUTHOR), Alohali, Manal Abdullah4 (AUTHOR), Farag, Sara5 (AUTHOR), El-Sappagh, Shaker6,7 (AUTHOR) shaker.elsappagh@gu.edu.eg, Saleh, Hager8 (AUTHOR) shaker.elsappagh@gu.edu.eg
Source: Diagnostics (2075-4418). Apr2023, Vol. 13 Issue 8, p1506. 21p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 163382830
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Elmannai%2C+Hela%22">Elmannai, Hela</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22El-Rashidy%2C+Nora%22">El-Rashidy, Nora</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mashal%2C+Ibrahim%22">Mashal, Ibrahim</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Alohali%2C+Manal+Abdullah%22">Alohali, Manal Abdullah</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Farag%2C+Sara%22">Farag, Sara</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22El-Sappagh%2C+Shaker%22">El-Sappagh, Shaker</searchLink><relatesTo>6,7</relatesTo> (AUTHOR)<i> shaker.elsappagh@gu.edu.eg</i><br /><searchLink fieldCode="AR" term="%22Saleh%2C+Hager%22">Saleh, Hager</searchLink><relatesTo>8</relatesTo> (AUTHOR)<i> shaker.elsappagh@gu.edu.eg</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Diagnostics+%282075-4418%29%22">Diagnostics (2075-4418)</searchLink>. Apr2023, Vol. 13 Issue 8, p1506. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=163382830
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/diagnostics13081506
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 1506
    Titles:
      – TitleFull: Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Elmannai, Hela
      – PersonEntity:
          Name:
            NameFull: El-Rashidy, Nora
      – PersonEntity:
          Name:
            NameFull: Mashal, Ibrahim
      – PersonEntity:
          Name:
            NameFull: Alohali, Manal Abdullah
      – PersonEntity:
          Name:
            NameFull: Farag, Sara
      – PersonEntity:
          Name:
            NameFull: El-Sappagh, Shaker
      – PersonEntity:
          Name:
            NameFull: Saleh, Hager
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 04
              Text: Apr2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 20754418
          Numbering:
            – Type: volume
              Value: 13
            – Type: issue
              Value: 8
          Titles:
            – TitleFull: Diagnostics (2075-4418)
              Type: main
ResultId 1