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Freshness in Salmon by Hand-Held Devices: Methods in Feature Selection and Data Fusion for Spectroscopy.
ACS Food Sci Technol
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National Measurement Laboratory: Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, U.K.
Salmon fillet was analyzed via hand-held optical devices: fluorescence (@340 nm) and absorption spectroscopy across the visible and near-infrared (NIR) range (400-1900 nm). Spectroscopic measurements were benchmarked with nucleotide assays and potentiometry in an exploratory set of experiments over 11 days, with changes to spectral profiles noted. A second enlarged spectroscopic data set, over a 17 day period, was then acquired, and fillet freshness was classified ±1 day via four machine learning (ML) algorithms: linear discriminant analysis, Gaussian naïve, weighted -nearest neighbors, and an ensemble bagged tree method.
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View Article and Find Full Text PDFEditorial: Predictive and diagnostic approaches for systemic disorders using ocular assessment.
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Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, Poznan, Poland.
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J Biochem Mol Toxicol
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Rheumatology and Immunology Department, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
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View Article and Find Full Text PDFLeveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China.
Lancet Digit Health
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Department of Pediatric Cardiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Engineering Research Center of Techniques and Instruments for Diagnosis and Treatment of Congenital Heart Disease, Ministry of Education, Shanghai, China. Electronic address:
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