PMID- 36896810
OWN - NLM
STAT- MEDLINE
DCOM- 20230928
LR  - 20230928
IS  - 1939-1676 (Electronic)
IS  - 0891-6640 (Print)
IS  - 0891-6640 (Linking)
VI  - 37
IP  - 2
DP  - 2023 Mar
TI  - A novel machine learning-based web application for field identification of 
      infectious and inflammatory disorders of the central nervous system in cattle.
PG  - 766-773
LID - 10.1111/jvim.16664 [doi]
AB  - BACKGROUND: Central nervous system (CNS) infections in cattle are a major cause 
      of economic loss and mortality. Machine learning (ML) techniques are gaining 
      widespread application in solving predictive tasks in both human and veterinary 
      medicine. OBJECTIVES: Our primary aim was to develop and compare ML models that 
      could predict the likelihood of a CNS disorder of infectious or inflammatory 
      origin in neurologically-impaired cattle. Our secondary aim was to create a 
      user-friendly web application based on the ML model for the diagnosis of 
      infection and inflammation of the CNS. ANIMALS: Ninety-eight cattle with CNS 
      infection and 86 with CNS disorders of other origin. METHODS: Retrospective 
      observational study. Six different ML methods (logistic regression [LR]; support 
      vector machine [SVM]; random forest [RF]; multilayer perceptron [MLP]; K-nearest 
      neighbors [KNN]; gradient boosting [GB]) were compared for their ability to 
      predict whether an infectious or inflammatory disease was present based on 
      demographics, neurological examination findings, and cerebrospinal fluid (CSF) 
      analysis. RESULTS: All 6 methods had high prediction accuracy (>/=80%). The 
      accuracy of the LR model was significantly higher (0.843 +/- 0.005; receiver 
      operating characteristic [ROC] curve 0.907 +/- 0.005 ) than the other models and 
      was selected for implementation in a web application. CONCLUSION AND CLINICAL 
      IMPORTANCE: Our findings support the use of ML algorithms as promising tools for 
      veterinarians to improve diagnosis. The open-access web application may aid 
      clinicians in achieving correct diagnosis of infectious and inflammatory 
      neurological disorders in livestock, with the added benefit of promoting 
      appropriate use of antimicrobials.
CI  - (c) 2023 The Authors. Journal of Veterinary Internal Medicine published by Wiley 
      Periodicals LLC on behalf of American College of Veterinary Internal Medicine.
FAU - Ferrini, Sara
AU  - Ferrini S
AD  - Department of Veterinary Sciences, University of Turin, Turin, Italy.
FAU - Rollo, Cesare
AU  - Rollo C
AD  - Department of Medical Sciences, University of Turin, Turin, Italy.
FAU - Bellino, Claudio
AU  - Bellino C
AD  - Department of Veterinary Sciences, University of Turin, Turin, Italy.
FAU - Borriello, Giuliano
AU  - Borriello G
AD  - Department of Veterinary Sciences, University of Turin, Turin, Italy.
FAU - Cagnotti, Giulia
AU  - Cagnotti G
AUID- ORCID: 0000-0003-1287-6723
AD  - Department of Veterinary Sciences, University of Turin, Turin, Italy.
FAU - Corona, Cristiano
AU  - Corona C
AD  - Istituto Zooprofilattico del Piemonte Liguria e Valle d'Aosta, Turin, Italy.
FAU - Di Muro, Giorgia
AU  - Di Muro G
AD  - Department of Veterinary Sciences, University of Turin, Turin, Italy.
FAU - Giacobini, Mario
AU  - Giacobini M
AD  - Department of Veterinary Sciences, University of Turin, Turin, Italy.
FAU - Iulini, Barbara
AU  - Iulini B
AD  - Istituto Zooprofilattico del Piemonte Liguria e Valle d'Aosta, Turin, Italy.
FAU - D'Angelo, Antonio
AU  - D'Angelo A
AD  - Department of Veterinary Sciences, University of Turin, Turin, Italy.
LA  - eng
GR  - Ministero dell'Istruzione, dell'Universita e della Ricerca/
PT  - Journal Article
PT  - Observational Study, Veterinary
DEP - 20230310
PL  - United States
TA  - J Vet Intern Med
JT  - Journal of veterinary internal medicine
JID - 8708660
SB  - IM
MH  - Animals
MH  - Cattle
MH  - Algorithms
MH  - *Cattle Diseases/diagnosis
MH  - Central Nervous System
MH  - *Central Nervous System Diseases/veterinary
MH  - Machine Learning
MH  - ROC Curve
MH  - Software
PMC - PMC10061175
OTO - NOTNLM
OT  - bovine neurology
OT  - central nervous system infections
OT  - clinical decision-making process
OT  - machine learning
COIS- Authors declare no conflict of interest.
EDAT- 2023/03/11 06:00
MHDA- 2023/03/31 06:41
PMCR- 2023/03/10
CRDT- 2023/03/10 05:53
PHST- 2022/11/16 00:00 [received]
PHST- 2023/02/03 00:00 [accepted]
PHST- 2023/03/31 06:41 [medline]
PHST- 2023/03/11 06:00 [pubmed]
PHST- 2023/03/10 05:53 [entrez]
PHST- 2023/03/10 00:00 [pmc-release]
AID - JVIM16664 [pii]
AID - 10.1111/jvim.16664 [doi]
PST - ppublish
SO  - J Vet Intern Med. 2023 Mar;37(2):766-773. doi: 10.1111/jvim.16664. Epub 2023 Mar 
      10.