首页|University of Florida Reports Findings in Bovine Leukemia Virus (Using supervise d machine learning algorithms to predict bovine leukemia virus seropositivity in dairy cattle in Florida: A 10-year retrospective study)
University of Florida Reports Findings in Bovine Leukemia Virus (Using supervise d machine learning algorithms to predict bovine leukemia virus seropositivity in dairy cattle in Florida: A 10-year retrospective study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Bovine Diseases and Conditions - Bovine Leukemia Virus is the subject of areport. According to news reporting or iginating from Gainesville, Florida, by NewsRx correspondents,research stated, “Supervised machine-learning (SML) algorithms are potentially powerful tools tha t maybe used for screening cows for infectious diseases such as bovine leukemia virus (BLV) infection. Here,we compared six different SML algorithms to identi fy the most important risk factors for predicting BLVseropositivity in dairy ca ttle in Florida.”
GainesvilleFloridaUnited StatesNor th and Central AmericaAlgorithmsBovine Diseases and ConditionsBovine Leuke mia VirusCyborgsDeltaretrovirusEmerging TechnologiesMachine LearningOn cogenic VirusesRNA VirusesRisk and PreventionVertebrate Viruses
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