Machine Learning-based Prediction of Active Tuberculosis in People With HIV Using Clinical Data.
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| Title: | Machine Learning-based Prediction of Active Tuberculosis in People With HIV Using Clinical Data. |
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| Authors: | Bartl L; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland., Zeeb M; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.; Institute of Medical Virology, University of Zurich, Zurich, Switzerland., Kälin M; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland., Loosli T; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.; Institute of Medical Virology, University of Zurich, Zurich, Switzerland., Notter J; Division of Infectious Diseases, Infection Prevention and Travel Medicine, Cantonal Hospital St. Gallen, St. Gallen, Switzerland., Furrer H; Department of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland., Hoffmann M; Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital Olten, Olten, Switzerland., Hirsch HH; Transplantation & Clinical Virology, University of Basel, Basel, Switzerland., Zangerle R; Department of Dermatology, Venereology and Allergy, Medical University Innsbruck, Innsbruck, Austria., Grabmeier-Pfistershammer K; Department of Dermatology, Medical University Vienna, Vienna, Austria., Knappik M; Department of Respiratory Medicine, Klinik Penzing, Vienna, Austria., Calmy A; HIV Unit, Division of Infectious Diseases, University Hospital Geneva, University of Geneva, Geneva, Switzerland., Fernandez JD; Division of Infectious Diseases, University Hospital Lausanne, University of Lausanne, Lausanne, Switzerland., Labhardt ND; Division Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland., Bernasconi E; Division of Infectious Diseases, Ente Ospedaliero Cantonale, Lugano, Switzerland., Günthard HF; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.; Institute of Medical Virology, University of Zurich, Zurich, Switzerland., Kouyos RD; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.; Institute of Medical Virology, University of Zurich, Zurich, Switzerland., Kusejko K; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.; Institute of Medical Virology, University of Zurich, Zurich, Switzerland., Nemeth J; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland. |
| Source: | Clinical infectious diseases : an official publication of the Infectious Diseases Society of America [Clin Infect Dis] 2025 Oct 06; Vol. 81 (3), pp. 521-530. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: United States NLM ID: 9203213 Publication Model: Print Cited Medium: Internet ISSN: 1537-6591 (Electronic) Linking ISSN: 10584838 NLM ISO Abbreviation: Clin Infect Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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