ESTIMATION OF MINCED PORK MICROBIOLOGICAL SPOILAGE THROUGH FOURIER TRANSFORM INFRARED AND VISIBLE SPECTROSCOPY AND MULTISPECTRAL VISION TECHNOLOGY

Estimation of Minced Pork Microbiological Spoilage through Fourier Transform Infrared and Visible Spectroscopy and Multispectral Vision Technology

Spectroscopic and imaging methods coupled Adaptive Cutlery with multivariate data analysis have been increasingly studied for the assessment of food quality.The objective of this work was the estimation of microbiological quality of minced pork using non-invasive spectroscopy-based sensors.For this purpose, minced pork patties were stored aerobical

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The value of machine learning for prognosis prediction of diphenhydramine exposure: National analysis of 50,000 patients in the United States

Background: Diphenhydramine (DPH) is an antihistamine medication that in overdose can result in anticholinergic symptoms and serious complications, including arrhythmia and coma.We aimed to compare the value of various machine learning (ML) models, including light gradient boosting machine (LGBM), logistic regression (LR), and random forest (RF), i

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