首页|Data on Machine Learning Published by Researchers at University of Palermo (A ma chine learning strategy to mitigate the inappropriateness of procalcitonin reque st in clinical practice)
Data on Machine Learning Published by Researchers at University of Palermo (A ma chine learning strategy to mitigate the inappropriateness of procalcitonin reque st in clinical practice)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from Palermo , Italy, by NewsRx correspondents, research stated, “The aim of this study was t o develop machine learning (ML) models to mitigate the inappropriate request of Procalcitonin (PCT) in clinical wards.” Our news reporters obtained a quote from the research from University of Palermo : “We built six different ML models based on both demographical data, i.e., sex and age, and laboratory parameters, i.e., cell blood count (CBC) parameters, inc lusive of monocyte distribution width (MDW), and C-reactive protein (CRP). The d ataset included 1667 PCT measurements of different patients. Based on a PCT cutoff of 0.50 ng/mL, we found 1090 negative (65.4%) and 577 positive (34.6%) results. We performed a 70:15:15 train:validation:test spli tting based on the outcome. Random Forest, Support Vector Machine and eXtreme Gr adient Boosting showed optimal performances for predicting PCT positivity, with an area under the curve ranging from 0.88 to 0.89.”
University of PalermoPalermoItalyE uropeCyborgsEmerging TechnologiesMachine Learning
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