首页|Department of ICU Reports Findings in Machine Learning (Suboptimal capability of individual machine learning algorithms in modeling small-scale imbalanced clini cal data of local hospital)
Department of ICU Reports Findings in Machine Learning (Suboptimal capability of individual machine learning algorithms in modeling small-scale imbalanced clini cal data of local hospital)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Machine Learning is the subject o f a report. According to news reporting originating from Shaanxi, People's Repub lic of China, by NewsRx correspondents, research stated, "In recent years, artif icial intelligence (AI) has shown promising applications in various scientific d omains, including biochemical analysis research. However, the effectiveness of A I in modeling small-scale, imbalanced datasets remains an open question in such fields." Our news editors obtained a quote from the research from the Department of ICU, "This study explores the capabilities of eight basic AI algorithms, including ri dge regression, logistic regression, random forest regression, and others, in mo deling a small, imbalanced clinical dataset (total n = 387, class 0 = 27, class 1 = 360) related to the records of the biochemical blood tests from the patients with multiple wasp stings (MWS). Through rigorous evaluation using k-fold cross -validation and comprehensive scoring, we found that none of the models could ef fectively model the data. Even after fine-tuning the hyperparameters of the best -performing models, the results remained below acceptable thresholds. The study highlights the challenges of applying AI to small-scale datasets with imbalanced groups in biochemical or clinical research and emphasizes the need for novel al gorithms tailored to small-scale data."
ShaanxiPeople's Republic of ChinaAsi aAlgorithmsBiochemicalsBiochemistryChemicalsCyborgsEmerging Technolo giesMachine Learning
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