Machine Learning-based Prediction of Active Tuberculosis in People With HIV Using Clinical Data
Models based on machine learning offer considerable promise for improving care for PWH, requiring no additional data collection and incurring minimal additional costs while enhancing the identification of PWH that could benefit from preventive TB treatment.
Authors
- Enos Bernasconi (ORCID: https://orcid.org/0000-0002-9724-8373)
- Niklaus Daniel Labhardt (ORCID: https://orcid.org/0000-0003-3599-1791)
- Marius Zeeb (ORCID: https://orcid.org/0000-0001-6822-1473)
- Hans Hellmuth Hirsch (ORCID: https://orcid.org/0000-0003-0883-0423)
- Johannes Nemeth (ORCID: https://orcid.org/0000-0003-0683-456X)
- José Damas (ORCID: https://orcid.org/0000-0001-7724-6226)
- Matthias Hoffmann (ORCID: https://orcid.org/0000-0002-8764-6861)
- Katharina Grabmeier‐Pfistershammer (ORCID: https://orcid.org/0000-0003-0665-5414)
- Robert Zangerle (ORCID: https://orcid.org/0000-0002-5375-7299)
- Alexandra Calmy
- Huldrych F. Günthard (ORCID: https://orcid.org/0000-0002-1142-6723)
- Roger D. Kouyos (ORCID: https://orcid.org/0000-0002-9220-8348)
- Hansjakob Furrer (ORCID: https://orcid.org/0000-0002-1375-3146)
- Michael Knappik
- Julia Notter (ORCID: https://orcid.org/0000-0003-4821-9995)
- Tom Loosli (ORCID: https://orcid.org/0000-0003-2049-3562)
- Katharina Kusejko (ORCID: https://orcid.org/0000-0002-4638-1940)
- Marisa Kälin (ORCID: https://orcid.org/0000-0002-4924-9099)
- Lena Bartl
Institutions
- University of Geneva (CH)
- University of Bern (CH)
- Innsbruck Medical University (AT)
- University of Basel (CH)
- University of Zurich (CH)
- University of St.Gallen (CH)
- University Hospital of Bern (CH)
- Klinik Hietzing (AT)
- Ente Ospedaliero Cantonale (CH)
- University Hospital of Zurich (CH)
- University Hospital of Geneva (CH)
- Kantonsschule Olten (CH)
- Lenzing (Austria) (AT)
- Medical University of Vienna (AT)
- University of Lausanne (CH)
Publication Details
- Journal
- Clinical Infectious Diseases
- Published
- 2025-03-25
- DOI
- https://doi.org/10.1093/cid/ciaf149
- Citations
- 7
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 9.77