Machine Learning Models for Prediction of Maternal Hemorrhage and Transfusion: Model Development Study.

Saved in:
Bibliographic Details
Title: Machine Learning Models for Prediction of Maternal Hemorrhage and Transfusion: Model Development Study.
Authors: Ahmadzia, Homa Khorrami1,2 (AUTHOR) homa.ahmadzia@inova.org, Dzienny, Alexa C3 (AUTHOR), Bopf, Mike4 (AUTHOR), Phillips, Jaclyn M1 (AUTHOR), Federspiel, Jerome Jeffrey5 (AUTHOR), Amdur, Richard6 (AUTHOR), Rice, Madeline Murguia7 (AUTHOR), Rodriguez, Laritza4 (AUTHOR)
Source: JMIR Bioinformatics & Biotechnology. 2024, Vol. 5 Issue 1, p1-170. 170p.
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: 182795679
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Machine Learning Models for Prediction of Maternal Hemorrhage and Transfusion: Model Development Study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ahmadzia%2C+Homa+Khorrami%22">Ahmadzia, Homa Khorrami</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> homa.ahmadzia@inova.org</i><br /><searchLink fieldCode="AR" term="%22Dzienny%2C+Alexa+C%22">Dzienny, Alexa C</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bopf%2C+Mike%22">Bopf, Mike</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Phillips%2C+Jaclyn+M%22">Phillips, Jaclyn M</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Federspiel%2C+Jerome+Jeffrey%22">Federspiel, Jerome Jeffrey</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Amdur%2C+Richard%22">Amdur, Richard</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rice%2C+Madeline+Murguia%22">Rice, Madeline Murguia</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rodriguez%2C+Laritza%22">Rodriguez, Laritza</searchLink><relatesTo>4</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22JMIR+Bioinformatics+%26+Biotechnology%22">JMIR Bioinformatics & Biotechnology</searchLink>. 2024, Vol. 5 Issue 1, p1-170. 170p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=182795679
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.2196/52059
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 170
        StartPage: 1
    Titles:
      – TitleFull: Machine Learning Models for Prediction of Maternal Hemorrhage and Transfusion: Model Development Study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ahmadzia, Homa Khorrami
      – PersonEntity:
          Name:
            NameFull: Dzienny, Alexa C
      – PersonEntity:
          Name:
            NameFull: Bopf, Mike
      – PersonEntity:
          Name:
            NameFull: Phillips, Jaclyn M
      – PersonEntity:
          Name:
            NameFull: Federspiel, Jerome Jeffrey
      – PersonEntity:
          Name:
            NameFull: Amdur, Richard
      – PersonEntity:
          Name:
            NameFull: Rice, Madeline Murguia
      – PersonEntity:
          Name:
            NameFull: Rodriguez, Laritza
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: 2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 25633570
          Numbering:
            – Type: volume
              Value: 5
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: JMIR Bioinformatics & Biotechnology
              Type: main
ResultId 1