Demodicosis in dogs: prevalence and clinical management

Turgoose, Emily; Hendricks, Anke; Church, David; Brodbelt, Dave C.; O’Neill, Dan G.

doi:10.22233/9781910443439.56.2

Search citation statements

Order By: Relevance

Paper Sections

Select...

Discussion1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2019

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We will explain how our method was applied to this dataset using a concrete example: the VetCompass™ study on demodicosis in dogs. 30…”

Section: Discussionmentioning

confidence: 99%

Detecting false-positive disease references in veterinary clinical notes without manual annotations

et al. 2019

View full text Add to dashboard Cite

Clinicians often include references to diseases in clinical notes, which have not been diagnosed in their patients. For some diseases terms, the majority of disease references written in the patient notes may not refer to true disease diagnosis. These references occur because clinicians often use their clinical notes to speculate about disease existence (differential diagnosis) or to state that the disease has been ruled out. To train classifiers for disambiguating disease references, previous researchers built training sets by manually annotating sentences. We show how to create very large training sets without the need for manual annotation. We obtain state-of- the-art classification performance with a bidirectional long short-term memory model trained to distinguish disease references between patients with or without the disease diagnosis in veterinary clinical notes.

show abstract

“…We will explain how our method was applied to this dataset using a concrete example: the VetCompass™ study on demodicosis in dogs. 30…”

Section: Discussionmentioning

confidence: 99%