[HTML][HTML] An investigation of ensemble learning techniques for obesity risk prediction using lifestyle data

SM Ganie, BB Reddy, K Hemachandran… - Decision Analytics …, 2024 - Elsevier
Obesity disease is a significant health issue and has affected millions of people worldwide.
Identifying underlying reasons for the onset of obesity risk in its early stage has become …

Multi-level feature encoding algorithm based on FBPSI for heart sound classification

Y Fang, H Leng, W Wang, D Liu - Scientific Reports, 2024 - nature.com
Abstract Analysis of heart sound signals plays an essential role in preventing and
diagnosing cardiac diseases. This study proposes a multi-level feature encoding algorithm …

Multi-modality NDE fusion using encoder–decoder networks for identify multiple neurological disorders from EEG signals

S Jain, R Srivastava - Technology and Health Care, 2024 - journals.sagepub.com
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complexity and diversity of brain activity patterns make it difficult to accurately diagnose …

A Novel WTS-EDC Network for Multi-Source ECG Signal Classification

A Rana, V Kumar, A Gupta - Journal of The Institution of Engineers (India) …, 2024 - Springer
Electrocardiography (ECG) is a commonly used diagnostic tool in the clinical setting for
detecting cardiovascular diseases (CVDs). However, its manual interpretation can be time …

[PDF][PDF] Neurophysiological Mechanisms of Focused Attention Meditation: A Scoping Systematic Review

Focused attention meditation (FA-M) is a foundational and widely studied practice that
cultivates sustained attention by focusing on a specific object, such as the breath, while …