An animal health example of managing and analyzing a large volume of data on a PC: Modeling body weight and age of over 13 million cats for explanatory and predictive purposes
- 4 November 2019
- journal article
- research article
- Published by Elsevier BV in Preventive Veterinary Medicine
- Vol. 174, 104824
- https://doi.org/10.1016/j.prevetmed.2019.104824
Abstract
No abstract availableKeywords
Funding Information
- University of Guelph
- Ontario Veterinary College
- IDEXX Chair
- Bond-Centered Animal Healthcare
This publication has 14 references indexed in Scilit:
- Investigation of relationships between body weight and age among domestic cats stratified by breed and sexJournal of the American Veterinary Medical Association, 2019
- A principled machine learning framework improves accuracy of stage II colorectal cancer prognosisnpj Digital Medicine, 2018
- Syndromic surveillance in companion animals utilizing electronic medical records data: development and proof of conceptPeerJ, 2016
- A secure, scalable and versatile multi-layer client–server architecture for remote intelligent data processingJournal of Reliable Intelligent Environments, 2015
- Mining free-text medical records for companion animal enteric syndrome surveillancePreventive Veterinary Medicine, 2014
- A machine learning approach using EEG data to predict response to SSRI treatment for major depressive disorderClinical Neurophysiology, 2013
- A cross-sectional study to compare changes in the prevalence and risk factors for feline obesity between 1993 and 2007 in New ZealandPreventive Veterinary Medicine, 2012
- Veterinary syndromic surveillance: Current initiatives and potential for developmentPreventive Veterinary Medicine, 2011
- Dynamical Patterns of Cattle Trade MovementsPLOS ONE, 2011
- The ascent of cat breeds: Genetic evaluations of breeds and worldwide random-bred populationsGenomics, 2008