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Machine Learning Approaches for Early Identification of Subclinical Ketosis and Low-Grade Ruminal Acidosis During the Transition Period in Dairy Cattle.

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第一作者： Samanta,Arlauskaitė

第一单位： Large Animal Clinic, Veterinary Academy, Lithuanian University of Health Sciences, Tilžės Str. 18, LT-47181 Kaunas, Lithuania.

作者： Samanta,Arlauskaitė ^[1] ; Akvilė,Girdauskaitė ^[1] ; Dovilė,Malašauskienė ^[1] ; Mindaugas,Televičius ^[1] ; Karina,Džermeikaitė ^[1] ; Justina,Krištolaitytė ^[1] ; Gabija,Lembovičiūtė ^[1] ; Greta,Šertvytytė ^[1] ; Ramūnas,Antanaitis ^[1]

作者单位： Large Animal Clinic, Veterinary Academy, Lithuanian University of Health Sciences, Tilžės Str. 18, LT-47181 Kaunas, Lithuania. ^[1]

关键词 dairy cattle early detection innovative technologies machine learning milk composition

DOI 10.3390/life15091491

PMID 41010432

发布时间 2025-09-30

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Life (Basel, Switzerland)

2025年15卷9期

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Machine Learning Approaches for Early Identification of Subclinical Ketosis and Low-Grade Ruminal Acidosis During the Transition Period in Dairy Cattle.

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Machine Learning Approaches for Early Identification of Subclinical Ketosis and Low-Grade Ruminal Acidosis During the Transition Period in Dairy Cattle.

Life (Basel, Switzerland)

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Life (Basel, Switzerland)

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