Machine Learning Based Prediction for Solving Veterinary Data Problems: A Review

Hassan, F.A.M., Moawed, S.A., El-Araby, I.E., Gouda, H.F. (2022). Machine Learning Based Prediction for Solving Veterinary Data Problems: A Review. Journal of Advanced Veterinary Research, 12(6).

This review explores the application of machine learning (ML) in addressing veterinary data challenges. It highlights the advantages of ML in disease prediction and farm decision-making, noting that ML models outperform traditional statistical methods that often introduce bias and reduce reliability. Key challenges, such as data size, algorithm tuning, and feature selection, are discussed as critical considerations for developing effective predictive models. The authors encourage further adoption of ML in veterinary research to improve outcomes over conventional approaches.