Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of a next-generation biocompatible titanium alloy, potentially improving the ...
Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Missing data present a perennial challenge in scientific research, potentially undermining the validity of conclusions if not addressed rigorously. The analysis of missing data encompasses a broad ...
A majority of counties experienced growth in penetration of Medicare value-based approaches: Medicare Shared Savings Program (MSSP) accountable care organizations (ACOs) and Medicare Advantage (MA).
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.
A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
As the population ages, China will face an ever-increasing burden from CS. Strategies targeting elder population and high-risk groups should be prioritized in the establishment of management related ...
BACKGROUND: The entrance of naive T cells into lymph nodes (LNs) is a crucial step for induction of heart transplant acceptance under costimulatory blockade. Specialized blood vessels within the LN ...
Background Motor and cognitive dysfunctions are common and disabling features in multiple sclerosis (MS) that remain challenging to treat. Here, we aimed to explore the effect of exergames as a ...