View in EDS PDF Full Text

Predicting Length of Stay in Cardiovascular Patients Using Count Regression and Machine Learning Approaches.

Saved in:
Bibliographic Details
Title: Predicting Length of Stay in Cardiovascular Patients Using Count Regression and Machine Learning Approaches.
Authors: Sabouri, Samaneh1,2 sabourism@mums.ac.ir, Salari, Maryam1,2
Source: Journal of Research & Health. Mar/Apr2026, Vol. 16 Issue 2, p195-201. 7p.
Database: Sociology Source Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: sxi
DbLabel: Sociology Source Ultimate
An: 194060675
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Predicting Length of Stay in Cardiovascular Patients Using Count Regression and Machine Learning Approaches.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Sabouri%2C+Samaneh%22">Sabouri, Samaneh</searchLink><relatesTo>1,2</relatesTo><i> sabourism@mums.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Salari%2C+Maryam%22">Salari, Maryam</searchLink><relatesTo>1,2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Research+%26+Health%22">Journal of Research & Health</searchLink>. Mar/Apr2026, Vol. 16 Issue 2, p195-201. 7p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=sxi&AN=194060675
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.32598/JRH.16.2.2598.1
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 195
    Titles:
      – TitleFull: Predicting Length of Stay in Cardiovascular Patients Using Count Regression and Machine Learning Approaches.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sabouri, Samaneh
      – PersonEntity:
          Name:
            NameFull: Salari, Maryam
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar/Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 24235717
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Journal of Research & Health
              Type: main
ResultId 1