Machine learning classification methods informing the management of inconclusive reactors at bovine tuberculosis surveillance tests in England
Author:
Funder
Animal and Plant Health Agency
Royal College of Veterinary Surgeons Charitable Trust
Publisher
Elsevier BV
Subject
Animal Science and Zoology,Food Animals
Reference84 articles.
1. Development of risk-based trading farm scoring system to assist with the control of bovine tuberculosis in cattle in England and Wales;Adkin;Prev. Vet. Med.,2016
2. The use of classification and regression trees to predict the likelihood of seasonal influenza;Afonso;Fam. Pract.,2012
3. Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach;Álvarez;Vet. Microbiol.,2012
4. Bovine Tuberculosis in Great Britain in 2019: Explanatory Supplement to the Annual Reports;APHA,2020
5. Bovine Tuberculosis in England in 2019. Epidemiological Analysis of the 2019 Data and Historical Trends;APHA,2020
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Assessing the potential impact of applying a higher sensitivity test to selected cattle populations for the control of bovine tuberculosis in England;Preventive Veterinary Medicine;2023-10
2. A big data–model integration approach for predicting epizootics and population recovery in a keystone species;Ecological Applications;2023-03-16
3. Applications of machine learning in animal and veterinary public health surveillance;Revue Scientifique et Technique de l'OIE;2023-01-01
4. Machine Learning Techniques for the Prediction of Bovine Tuberculosis Among the Cattle;Proceedings of International Conference on Data Science and Applications;2023
5. Can more information be extracted from bovine TB skin test outcomes to inform animal risk management? A retrospective observational animal-level study;Preventive Veterinary Medicine;2022-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3