Exploring Trichomonas vaginalis infection risk factors with explainable machine learning and electronic health records

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SPIRE - Sciences Po Institutional REpository
Published
2025-09-03
Primary Topic
Cervical Cancer and HPV Research
Type
article
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article

Exploring Trichomonas vaginalis infection risk factors with explainable machine learning and electronic health records

Rosanne Minone Ngome, Nnanga Nga, Nicolas Vuillerme, Pascal Petit et al.
SPIRE - Sciences Po Institutional REpository
Cervical Cancer and HPV Research
article

Exploring Trichomonas vaginalis infection risk factors with explainable machine learning and electronic health records

Rosanne Minone Ngome, Nnanga Nga, Nicolas Vuillerme, Pascal Petit, Alain Tchana, Marcelle Abanda
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Université de Yaoundé I (CM), Université Toulouse III - Paul Sabatier (FR), Institut Universitaire de France (FR), Université Toulouse-I-Capitole (FR), Centre Pasteur du Cameroun (CM), Institut de Recherche en Informatique de Toulouse (FR), Agence Régionale de Santé Ile-de-France (FR), Université Toulouse - Jean Jaurès (FR), Institut Polytechnique de Bordeaux (FR)
Openalex Percentile: Top 63%
Cervical Cancer and HPV Research
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Exploring Trichomonas vaginalis infection risk factors with explainable machine learning and electronic health records — Rosanne Minone Ngome, Nnanga Nga, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS