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Technologies, Volume 12, Issue 2

February 2024 - 15 articles

Cover Story: Atrial fibrillation (AF) has an increasing prevalence and association with major adverse cardiovascular events (MACE). In recent years, there has been growing interest in identifying new predictors of MACE in AF patients. This novel approach is associated with a reduction in the risk of MACE. The role of artificial intelligence and machine learning techniques offer a promising avenue for more effective prediction of AF progression. Incorporating machine learning algorithms into the clinical management of people at high risk of AF and those with AF offers potential benefits, such as personalised risk assessment, data-driven decision support and improved patient care. This study shows that the application of machine learning is highly effective in predicting MACE in patients with newly diagnosed AF. View this paper
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Articles (15)

  • Review
  • Open Access
31 Citations
4,948 Views
37 Pages

In response to the COVID-19 pandemic and its strain on healthcare resources, this study presents a comprehensive review of various techniques that can be used to integrate image compression techniques and statistical texture analysis to optimize the...

  • Article
  • Open Access
14 Citations
4,178 Views
19 Pages

Attention-Based Ensemble Network for Effective Breast Cancer Classification over Benchmarks

  • Su Myat Thwin,
  • Sharaf J. Malebary,
  • Anas W. Abulfaraj and
  • Hyun-Seok Park

Globally, breast cancer (BC) is considered a major cause of death among women. Therefore, researchers have used various machine and deep learning-based methods for its early and accurate detection using X-ray, MRI, and mammography image modalities. H...

  • Feature Paper
  • Review
  • Open Access
157 Citations
40,518 Views
40 Pages

Machine vision, an interdisciplinary field that aims to replicate human visual perception in computers, has experienced rapid progress and significant contributions. This paper traces the origins of machine vision, from early image processing algorit...

  • Communication
  • Open Access
6 Citations
2,698 Views
12 Pages

Magnesium and its composites have been used in various applications owing to their high specific strength properties and low density. However, the application is limited to room-temperature conditions owing to the lack of research available on the ab...

  • Article
  • Open Access
13 Citations
4,449 Views
14 Pages

Machine Learning Approaches to Predict Major Adverse Cardiovascular Events in Atrial Fibrillation

  • Pedro Moltó-Balado,
  • Silvia Reverté-Villarroya,
  • Victor Alonso-Barberán,
  • Cinta Monclús-Arasa,
  • Maria Teresa Balado-Albiol,
  • Josep Clua-Queralt and
  • Josep-Lluis Clua-Espuny

The increasing prevalence of atrial fibrillation (AF) and its association with Major Adverse Cardiovascular Events (MACE) presents challenges in early identification and treatment. Although existing risk factors, biomarkers, genetic variants, and ima...

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Technologies - ISSN 2227-7080