Evaluating the performance of herd-specific Long Short-Term Memory models to identify automated health alerts associated with a ketosis diagnosis in early lactation cows

Author:

Taechachokevivat N.ORCID,Kou B.,Zhang T.,Montes M.E.ORCID,Boerman J.P.ORCID,Doucette J.S.ORCID,Neves R.C.ORCID

Funder

Purdue University College of Agriculture

Publisher

American Dairy Science Association

Reference78 articles.

1. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI);Adadi;IEEE Access,2018

2. In-Line Registered Milk Fat-to-Protein Ratio for the Assessment of Metabolic Status in Dairy Cows;Antanaitis;Animals (Basel),2023

3. Change in Rumination Behavior Parameters around Calving in Cows with Subclinical Ketosis Diagnosed during 30 Days after Calving;Antanaitis;Animals (Basel),2023

4. Changes in cow activity, milk yield, and milk conductivity before clinical diagnosis of ketosis, and acidosis;Antanaitis;Vet. Zootech.,2015

5. The Use of Multilayer Perceptron Artificial Neural Networks to Detect Dairy Cows at Risk of Ketosis;Bauer;Animals (Basel),2022

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