What do users in a polycystic ovary syndrome (PCOS) forum think about the treatments they tried: Analysing treatment sentiment using machine learning.

Saved in:
Bibliographic Details
Title: What do users in a polycystic ovary syndrome (PCOS) forum think about the treatments they tried: Analysing treatment sentiment using machine learning.
Authors: Emanuel RHK; Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand., Docherty PD; Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand. paul.docherty@canterbury.ac.nz.; Institute for Technical Medicine, Furtwangen University, Villingen-Schwenningen, Germany. paul.docherty@canterbury.ac.nz., Lunt H; Diabetes Services, Health New Zealand, Canterbury, New Zealand., Campbell RE; School of Biomedical Sciences, Department of Physiology, Centre for Neuroendocrinology, University of Otago, Dunedin, New Zealand.
Source: Physical and engineering sciences in medicine [Phys Eng Sci Med] 2025 Jun; Vol. 48 (2), pp. 723-741. Date of Electronic Publication: 2025 Apr 14.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Switzerland NLM ID: 101760671 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-4737 (Electronic) Linking ISSN: 26624729 NLM ISO Abbreviation: Phys Eng Sci Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40227526
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: What do users in a polycystic ovary syndrome (PCOS) forum think about the treatments they tried: Analysing treatment sentiment using machine learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Emanuel+RHK%22">Emanuel RHK</searchLink>; Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.<br /><searchLink fieldCode="AU" term="%22Docherty+PD%22">Docherty PD</searchLink>; Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand. paul.docherty@canterbury.ac.nz.; Institute for Technical Medicine, Furtwangen University, Villingen-Schwenningen, Germany. paul.docherty@canterbury.ac.nz.<br /><searchLink fieldCode="AU" term="%22Lunt+H%22">Lunt H</searchLink>; Diabetes Services, Health New Zealand, Canterbury, New Zealand.<br /><searchLink fieldCode="AU" term="%22Campbell+RE%22">Campbell RE</searchLink>; School of Biomedical Sciences, Department of Physiology, Centre for Neuroendocrinology, University of Otago, Dunedin, New Zealand.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101760671%22">Physical and engineering sciences in medicine</searchLink> [Phys Eng Sci Med] 2025 Jun; Vol. 48 (2), pp. 723-741. <i>Date of Electronic Publication: </i>2025 Apr 14.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101760671 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2662-4737 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226624729%22">26624729 </searchLink><i>NLM ISO Abbreviation: </i>Phys Eng Sci Med <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40227526
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s13246-025-01539-9
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 723
    Titles:
      – TitleFull: What do users in a polycystic ovary syndrome (PCOS) forum think about the treatments they tried: Analysing treatment sentiment using machine learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Emanuel RHK
      – PersonEntity:
          Name:
            NameFull: Docherty PD
      – PersonEntity:
          Name:
            NameFull: Lunt H
      – PersonEntity:
          Name:
            NameFull: Campbell RE
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2025 Jun
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2662-4737
          Numbering:
            – Type: volume
              Value: 48
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Physical and engineering sciences in medicine
              Type: main
ResultId 1