Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), ...
IEEE

Multispace Dimensionality Reduction Based on Extreme Learning Machine-Assisted Autoencoder for High-Dimensional Expensive Optimization

Abstract: Faced with high-dimensional expensive optimization problems (HEOPs), existing high-dimensional expensive optimization algorithms (HEOAs) struggle to locate promising areas quickly due to a ...
IEEE

Research on Feature Extraction and Dimensionality Reduction of Machine Learning Neural Networks in Big Data Processing

Abstract: With the innovative application of machine learning neural networks, the problem of feature extraction and dimensionality reduction in big data processing has received extensive attention, ...
C&EN

Historical Data Mining Deep Dive into Machine Learning-Aided 2D Materials Research in Electrochemical Applications

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
The New York Times

Repeal of Clean Energy Law Will Mean a Hotter Planet, Scientists Warn

Republicans plan to terminate billions of dollars in clean energy tax credits. Experts say that will mean more greenhouse gas emissions and more dangerous heat. By Lisa Friedman When President Joseph ...
Frontiers

Prediction of KRAS gene mutations in colorectal cancer using a CT-based radiomic model

Background: Determining the KRAS gene mutation status in colorectal cancer (CRC) before surgery is highly important for an individualized clinical treatment. This study aimed to explore the clinical ...
Scientific Research Publishing

Bharadiya, J.P. (2023) A Tutorial on Principal Component Analysis for Dimensionality Reduction in Machine Learning. International Journal of Innovative Science and Research ...

ABSTRACT: Heart disease continues to be a major global cause of death, making the development of reliable prediction models necessary to enable early detection and treatment. Using machine learning to ...
Scientific Research Publishing

Gu, Q.Q., Li, Z.H. and Han, J.W. (2011) Linear Discriminant Dimensionality Reduction. Machine Learning and Knowledge Discovery in Databases, 6911, 549-564.

ABSTRACT: Characterized by recurrent and rapid seizures, epilepsy is a great threat to the livelihood of the human beings. Abnormal transient behaviour of neurons in the cortical regions of the brain ...