Machine learning algorithms predict canine structural epilepsy with high accuracy

IntroductionClinical reasoning in veterinary medicine is often based on clinicians’ personal experience in combination with information derived from publications describing cohorts of patients. Studies on the use of scientific methods for patient individual decision making are largely lacking. This...

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Bibliografiske detaljer

Principais autores:	Thomas Flegel, Anja Neumann, Anna-Lena Holst, Olivia Kretzschmann, Shenja Loderstedt, Carina Tästensen, Sarah Gutmann, Josephine Dietzel, Lisa Franziska Becker, Theresa Kalliwoda, Vivian Weiß, Madlene Kowarik, Irene Christine Böttcher, Christian Martin
Format:	Artigo
Sprog:	Inglês
Udgivet:	Frontiers Media S.A. 2024-07-01
Serier:	Frontiers in Veterinary Science
Fag:	dog seizures artificial intelligence Random Forest Bayesian Network feature selection
Online adgang:	https://www.frontiersin.org/articles/10.3389/fvets.2024.1406107/full
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