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Development of diagnostic models for canine osteoarthritis based on serum and joint fluid mid‐infrared spectral data using five different discrimination and classification methods
Author(s) -
Hou Siyuan
Publication year - 2016
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.2830
Subject(s) - chemometrics , osteoarthritis , joint (building) , joint disease , pattern recognition (psychology) , computer science , diagnostic model , artificial intelligence , machine learning , data mining , medicine , pathology , engineering , architectural engineering , alternative medicine
Infrared spectroscopy coupled with chemometrics tools is a powerful method to establish diagnostic models for diagnosis of osteoarthritis disease. Different diagnostic models were developed on the basis of different chemometrics methods, showing different models' predictive performances. Choice of appropriate data analysis methods in model development should be taken into account.