Six machine learning algorithms—k-nearest neighbors, naive Bayes, multilayer perceptron, random forest, support vector machine, and Extreme Gradient Boosting (XGBoost)—were developed using 10-fold ...

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Aims To identify simple and practical predictors and develop predictive models for the long-term efficacy of orthokeratology (ortho-k) treatment in myopic children. Methods The training and external ...

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There is an urgent need for a reliable prediction model, accessible via an easy-to-use web-based tool, to evaluate the risk of death. Objective: This study aimed to develop and validate a risk ...

Background Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in clinical management. The use of artificial intelligence (AI) offers an opportunity to improve risk ...

Structural determinants of diagnosis and prognosis in cervical cancer: Associations between care setting, comorbidity burden, and sociodemographic factors. This is an ASCO Meeting Abstract from the ...

Objectives To assess the outcomes of patients undergoing open abdominal surgery at a National Referral Hospital in Tanzania. Design A prospective, observational, single-arm cohort study. Setting Dar ...

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...

摘要：骨骼残骸的性别估算是法医人类学(Forensic Anthropology)的关键环节，其中颅骨与骨盆是形态学上两性异形(Sexual Dimorphism)最显著的部位。传统多元统计方法如判别函数分析(Discriminant Function Ana 摘要：骨骼残骸的性别估算是法医人类学(Forensic Anthropology)的关键环节，其中颅骨与骨盆是形态学上两性异形(Sexua ...