Machine learning prediction of weight gain after antiretroviral therapy initiation in people with HIV: Insights from a large french real-world cohort.
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| Title: | Machine learning prediction of weight gain after antiretroviral therapy initiation in people with HIV: Insights from a large french real-world cohort. |
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| Authors: | Codde C; Department of infectious diseases, Dupuytren 2 University Hospital, Limoges, France.; Inserm Pharmacology & Toxicology, U 1248, F-87000, Limoges University, Dupuytren University Hospital, Limoges, France., Benoist C; Inserm Pharmacology & Toxicology, U 1248, F-87000, Limoges University, Dupuytren University Hospital, Limoges, France., Hocqueloux L; Department of infectious diseases, Orléans University Hospital, Orléans, France., Delpierre C; Toulouse University, Toulouse, France., Allevena C; Department of infectious diseases, Nantes University Hospital, Nantes, France., Ménard A; Department of infectious diseases, Marseille University Hospital Instutit, Marseille, France., Chéret A; Department of infectious diseases, Kremlin Bicêtre University Hospital, Paris, France., Arvieux C; Department of infectious diseases, Rennes University Hospital, Rennes, France., Faucher JF; Department of infectious diseases, Dupuytren 2 University Hospital, Limoges, France., Woillard JB; Inserm Pharmacology & Toxicology, U 1248, F-87000, Limoges University, Dupuytren University Hospital, Limoges, France.; Department of Pharmacology, Toxicology, and Pharmacovigilance, Dupuytren University Hospital, Limoges, France. |
| Corporate Authors: | Dat’AIDS Study Group |
| Source: | PloS one [PLoS One] 2026 Mar 06; Vol. 21 (3), pp. e0344570. Date of Electronic Publication: 2026 Mar 06 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0344570 |
