Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

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 ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

A quick optical biopsy using optical coherence tomography (OCT) may improve endometrial cancer screening, according to a study published online June 3 in npj ...

Abstract: Model explainability has become an important objective when developing machine learning algorithms, especially in highly regulated industries. However, it is difficult to achieve both ...

1 School of Artificial Intelligence and Information Engineering, Zhejiang University of Science and Technology, Hangzhou, China. 2 School of Sciences, Zhejiang University of Science and Technology, ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

Abstract: Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...