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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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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
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2024-07-01
Series:Frontiers in Veterinary Science
Assuntos:
dog
seizures
artificial intelligence
Random Forest
Bayesian Network
feature selection
Acceso en liña:https://www.frontiersin.org/articles/10.3389/fvets.2024.1406107/full
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