Machine learning using clinical data at baseline predicts the efficacy of vedolizumab at week 22 in patients with ulcerative colitis

Machine learning using clinical data at baseline predicts the efficacy of vedolizumab at week 22 in patients with ulcerative colitis

Abstract Predicting the response of patients with ulcerative colitis (UC) to a biologic such as vedolizumab (VDZ) before administration is an unmet need for optimizing individual patient treatment. We hypothesized that the machine-learning approach with daily clinical information can be a new, promi...

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Autores principales: Jun Miyoshi, Tsubasa Maeda, Katsuyoshi Matsuoka, Daisuke Saito, Sawako Miyoshi, Minoru Matsuura, Susumu Okamoto, Satoshi Tamura, Tadakazu Hisamatsu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/67f3558ce61d4ab2abbd337be27645ca
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