Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

Machine Learning Models: Using algorithms like neural networks and random forests, these models train prediction models from large samples of match data, gradually improving accuracy. This shift marks ...

Abstract: This paper presents a comprehensive study on the development of a NPGP model based on the Random Forest algorithm for predicting medal distributions in international competitions. Initially, ...

1 Department of Critical Care Medicine, Jiangdu People’s Hospital Affiliated to Yangzhou University, Yangzhou, China 2 Department of Emergency Medicine, Yangzhou Jiangdu Traditional Chinese Medicine ...

Abstract: Random Forest is an efficient machine learning classification algorithm known for its high accuracy and interpretability. However, the traditional voting mechanism in the standard Random ...

1 School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China 2 Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China Background ...