Predicting hypertension control using machine learning.

Saved in:
Bibliographic Details
Title: Predicting hypertension control using machine learning.
Authors: Mroz, Thomas1,2 (AUTHOR) mrozt@ccf.org, Griffin, Michael3 (AUTHOR), Cartabuke, Richard4 (AUTHOR), Laffin, Luke5 (AUTHOR), Russo-Alvarez, Giavanna6 (AUTHOR), Thomas, George7 (AUTHOR), Smedira, Nicholas8 (AUTHOR), Meese, Thad9 (AUTHOR), Shost, Michael2,10 (AUTHOR), Habboub, Ghaith2 (AUTHOR)
Source: PLoS ONE. 3/20/2024, Vol. 19 Issue 3, p1-14. 14p.
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: 176152848
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Predicting hypertension control using machine learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Mroz%2C+Thomas%22">Mroz, Thomas</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> mrozt@ccf.org</i><br /><searchLink fieldCode="AR" term="%22Griffin%2C+Michael%22">Griffin, Michael</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cartabuke%2C+Richard%22">Cartabuke, Richard</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Laffin%2C+Luke%22">Laffin, Luke</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Russo-Alvarez%2C+Giavanna%22">Russo-Alvarez, Giavanna</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Thomas%2C+George%22">Thomas, George</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Smedira%2C+Nicholas%22">Smedira, Nicholas</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Meese%2C+Thad%22">Meese, Thad</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shost%2C+Michael%22">Shost, Michael</searchLink><relatesTo>2,10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Habboub%2C+Ghaith%22">Habboub, Ghaith</searchLink><relatesTo>2</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 3/20/2024, Vol. 19 Issue 3, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=176152848
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pone.0299932
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 1
    Titles:
      – TitleFull: Predicting hypertension control using machine learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mroz, Thomas
      – PersonEntity:
          Name:
            NameFull: Griffin, Michael
      – PersonEntity:
          Name:
            NameFull: Cartabuke, Richard
      – PersonEntity:
          Name:
            NameFull: Laffin, Luke
      – PersonEntity:
          Name:
            NameFull: Russo-Alvarez, Giavanna
      – PersonEntity:
          Name:
            NameFull: Thomas, George
      – PersonEntity:
          Name:
            NameFull: Smedira, Nicholas
      – PersonEntity:
          Name:
            NameFull: Meese, Thad
      – PersonEntity:
          Name:
            NameFull: Shost, Michael
      – PersonEntity:
          Name:
            NameFull: Habboub, Ghaith
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 20
              M: 03
              Text: 3/20/2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 19326203
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: PLoS ONE
              Type: main
ResultId 1