Background Community resilience is a relevant concept in public health, but its empirical relationship with health outcomes ...
Abstract: Heavy rainfall prediction is crucial for various applications such as flood forecasting, water resource management, and agriculture. In this study, we propose a multi linear regression ...
Risk Score Model of Aging-Related Genes for Bladder Cancer and Its Application in Clinical Prognosis
Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus were used to construct a 12-gene ARG-based prognostic signature through LASSO and Cox regression ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
Amid the wave of the digital age, advanced technologies such as big data, artificial intelligence, and cloud computing are driving precise analysis and forecasting across various fields. This paper ...
ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...
This lesson will be more of a code-along, where you'll walk through a multiple linear regression model using both statsmodels and scikit-learn. Recall the initial regression model presented. It ...
Background: The aim of the present study was to establish a predictive model to predict the peritoneal cancer index (PCI) preoperatively in patients with pseudomyxoma peritonei (PMP). Conclusion: This ...
The evaluation of sound quality is a significant area of research in audio and acoustics (Lyon, 2003). Traditional methods for assessing vehicle sound quality involve both subjective and objective ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback