View in EDS PDF Full Text

Enhancing Longitudinal Data Analysis with Unstructured EHRs: A Case Study of Renal Function Evaluation in Rare Disease.

Saved in:
Bibliographic Details
Title: Enhancing Longitudinal Data Analysis with Unstructured EHRs: A Case Study of Renal Function Evaluation in Rare Disease.
Authors: Wang X; Clinical Bioinformatics Group, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France., Faviez C; Clinical Bioinformatics Group, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France., Douillet M; Data Science Platform, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France., Knebelmann B; Hôpital Necker-Enfants Malades, AP-HP, Paris, France., Garcelon N; Clinical Bioinformatics Group, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France.; Data Science Platform, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France., Burgun A; Clinical Bioinformatics Group, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France.; Hôpital Necker-Enfants Malades, AP-HP, Paris, France., Chen X; Clinical Bioinformatics Group, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France.; Data Science Platform, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2025 May 15; Vol. 327, pp. 1270-1274.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40380706
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Enhancing Longitudinal Data Analysis with Unstructured EHRs: A Case Study of Renal Function Evaluation in Rare Disease.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Wang+X%22">Wang X</searchLink>; Clinical Bioinformatics Group, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France.<br /><searchLink fieldCode="AU" term="%22Faviez+C%22">Faviez C</searchLink>; Clinical Bioinformatics Group, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France.<br /><searchLink fieldCode="AU" term="%22Douillet+M%22">Douillet M</searchLink>; Data Science Platform, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France.<br /><searchLink fieldCode="AU" term="%22Knebelmann+B%22">Knebelmann B</searchLink>; Hôpital Necker-Enfants Malades, AP-HP, Paris, France.<br /><searchLink fieldCode="AU" term="%22Garcelon+N%22">Garcelon N</searchLink>; Clinical Bioinformatics Group, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France.; Data Science Platform, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France.<br /><searchLink fieldCode="AU" term="%22Burgun+A%22">Burgun A</searchLink>; Clinical Bioinformatics Group, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France.; Hôpital Necker-Enfants Malades, AP-HP, Paris, France.<br /><searchLink fieldCode="AU" term="%22Chen+X%22">Chen X</searchLink>; Clinical Bioinformatics Group, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France.; Data Science Platform, Imagine Institute, Université Paris Cité, Inserm UMR 1163, Paris, France.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229214582%22">Studies in health technology and informatics</searchLink> [Stud Health Technol Inform] 2025 May 15; Vol. 327, pp. 1270-1274.
– 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="%22IOS+Press%22">IOS Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9214582 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-8365 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209269630%22">09269630 </searchLink><i>NLM ISO Abbreviation: </i>Stud Health Technol Inform <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40380706
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3233/SHTI250602
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1270
    Titles:
      – TitleFull: Enhancing Longitudinal Data Analysis with Unstructured EHRs: A Case Study of Renal Function Evaluation in Rare Disease.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wang X
      – PersonEntity:
          Name:
            NameFull: Faviez C
      – PersonEntity:
          Name:
            NameFull: Douillet M
      – PersonEntity:
          Name:
            NameFull: Knebelmann B
      – PersonEntity:
          Name:
            NameFull: Garcelon N
      – PersonEntity:
          Name:
            NameFull: Burgun A
      – PersonEntity:
          Name:
            NameFull: Chen X
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 05
              Text: 2025 May 15
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1879-8365
          Numbering:
            – Type: volume
              Value: 327
          Titles:
            – TitleFull: Studies in health technology and informatics
              Type: main
ResultId 1