Survival analysis applied to a breast cancer dataset, including information on hormone therapy, chemotherapy, radiotherapy, and time-to-event variables. The study uses Kaplan–Meier curves, GLM models, ...

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 ...

Random neighborhoods regression is essentially a variation of k-nearest neighbors regression. In regular k-nearest neighbors regression, to predict the target value y for an input vector x, you find ...

College of Mathematical and Statistics, Sichuan University of Science and Engineering, Zigong, China. With the rapid development of the global economy and the acceleration of urbanization, ...

Abstract: Flash floods are one of natural disasters that result in significant economic losses and human casualties. Previous studies on flash flood assessment generally applied binary or ...

Abstract: Load forecasting, a crucial aspect of energy management, involves predicting the future electricity demand based on historical data. In the context of monthly time series analysis, this ...

Supervised Machine Learning using SciKit and other tools to do PCA, SVM, random forests, etc. for facial recognition and predictive decision making.

State Key Laboratory for Oncogenes and Related Genes, Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Cancer Institute, Shanghai, China The high ...