Identification of parameters and formulation of a statistical and machine learning model to identify Babesia canis infections in dogs using available ADVIA hematology analyzer data

被引：0
作者：
Tera Pijnacker
Richard Bartels
Martin van Leeuwen
Erik Teske
机构：
[1] Utrecht University,Department of Clinical Sciences
[2] University Medical Center Utrecht,Digital Health
来源：
Parasites & Vectors | / 15卷
关键词：
ADVIA; Blood smear; Machine learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 129 条
[1]  
Solano-Gallego L(2016)A review of canine babesiosis: the European perspective Parasit Vectors 9 1-18
[2]  
Sainz Á(2009)Diversity of Babesia and Theileria species in symptomatic and asymptomatic dogs in Croatia Int J Parasitol 39 843-848
[3]  
Roura X(2012)Canine babesiosis in Romania due to Parasitol Res 110 1659-1664
[4]  
Estrada-Peña A(2004) and Vet Res 35 363-368
[5]  
Miró G(2008): a molecular approach Vet Parasitol 157 211-221
[6]  
Beck R(2008)Canine babesiosis in Slovenia: molecular evidence of Vet Parasitol 156 199-204
[7]  
Vojta L(1979) and Acta Trop 36 229-241
[8]  
Mrljak V(2016) and Parasit Vectors 9 336-60
[9]  
Marinculić A(2011) clinicopathological findings and DNA detection by means of PCR-RFLP in blood from Italian dogs suspected of tick-borne disease Vet Parasitol 181 48-278
[10]  
Beck A(2009) and Tijdschr Diergeneeskd 134 272-555
12345678910