Novel Method for Early Prediction of Clinically Significant Drug-Drug Interactions with a Machine Learning Algorithm Based on Risk Matrix Analysis in the NICU.

Yalçin, Nadir; Kasikci, Merve; Çelik, Hasan Tolga; Allegaert, Karel; Demirkan, Kutay; Yigit, Sule; Yurdakök, Murat

Yalçin, Nadir; Kasikci, Merve; Çelik, Hasan Tolga; Allegaert, Karel; Demirkan, Kutay; Yigit, Sule; Yurdakök, Murat.

Afiliación

Yalçin N; Department of Clinical Pharmacy, Faculty of Pharmacy, Hacettepe University, Ankara 06100, Turkey.
Kasikci M; Department of Biostatistics, Faculty of Medicine, Hacettepe University, Ankara 06100, Turkey.
Çelik HT; Division of Neonatology, Department of Child Health and Diseases, Faculty of Medicine, Hacettepe University, Ankara 06100, Turkey.
Allegaert K; Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, 3000 Leuven, Belgium.
Demirkan K; Department of Development and Regeneration, KU Leuven, 3000 Leuven, Belgium.
Yigit S; Department of Hospital Pharmacy, Erasmus Medical Center, 3000 GA Rotterdam, The Netherlands.
Yurdakök M; Department of Clinical Pharmacy, Faculty of Pharmacy, Hacettepe University, Ankara 06100, Turkey.

J Clin Med ; 11(16)2022 Aug 12.

Article en En | MEDLINE | ID: mdl-36012954

Palabras clave

adverse drug reactions; drugdrug interactions; machine learning; neonatal intensive care unit

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Med Año: 2022 Tipo del documento: Article País de afiliación: Turquía Pais de publicación: Suiza

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