Towards an automated system for the identification of notifiable pathogens: Using Gyrodactylus salaris as an example

Citation

Kay JW, Shinn A & Sommerville C (1999) Towards an automated system for the identification of notifiable pathogens: Using Gyrodactylus salaris as an example. Parasitology Today, 15 (5), pp. 201-206. https://doi.org/10.1016/S0169-4758%2899%2901433-7

Abstract
Simple and rapid identification of pathogen species is crucial to the control of many diseases. Here, James Kay, Andrew Shinn and Christina Sommerville demonstrate that statistical classifiers discriminate a notifiable pathogen Gyrodactylus salaris Malmberg, 1957, a lethal ectoparasite of Atlantic salmon, Salmo salar L., from its benign close relatives.

Keywords
Parasitology; Pharmacology; Diagnostics; Statistical classifiers; Gyrodactylus; Monogenea; Notifiable pathogen; k nearest neighbours; Feed forward neural network

Journal
Parasitology Today: Volume 15, Issue 5