Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
2.6
1.8
Journals
ARM
Special Issues
Respiratory Rehabilitation: Current Perspectives and Future Challenges
arm-logo
Submit to Special Issue Submit Abstract to Special Issue Review for ARM Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Respiratory Rehabilitation: Current Perspectives and Future Challenges

A special issue of Advances in Respiratory Medicine (ISSN 2543-6031).

Deadline for manuscript submissions: 24 January 2025 | Viewed by 1324

Special Issue Editors

Prof. Dr. Luís Sousa

E-Mail Website
Guest Editor
1. Department of Nursing, School of Health Atlântica (ESSATLA), 2730-036 Oeiras, Portugal
2. Comprehensive Health Research Center (CHRC), 7000-811 Évora, Portugal
Interests: nursing; clinical examination; humor intervention; nursing diagnosis; stroke rehabilitation; spinal cord injury; respiratory rehabilitation; rehabilitation; exercise; quality of life
Special Issues, Collections and Topics in MDPI journals
Dr. Helena José

E-Mail Website
Guest Editor
School of Health Atlântica (ESSATLA), 2730-036 Oeiras, Portugal
Interests: older person health; medical-surgical nursing; chronic disease; chronic respiratory disease; cardiovascular disease; medication adherence; quality of life; humor intervention; health communication; simulation training
Dr. Isabel Rabiais

E-Mail Website
Guest Editor
1. School of Health Atlântica (ESSATLA), 2730-036 Barcarena, Oeiras, Portugal
2. Center for Interdisciplinary Research Health (CIIS), Palma de Cima, Universidade Católica Portuguesa, 1649-023 Lisbon, Portugal
Interests: older person health; medical-surgical nursing; chronic disease; chronic respiratory disease; cardiovascular disease; critical care; quality of life; spiritual care; education; simulation training

Special Issue Information

Dear Colleagues,

The aging of the global population and increased exposure to risk factors make chronic respiratory diseases a serious global public health problem. Dyspnea, airway obstruction, activity intolerance, and reduced quality of life are frequent manifestations in people with chronic respiratory disease. Physical activity and physical exercise are fundamental to the respiratory rehabilitation of people with chronic respiratory disease, as they allow the improvement of muscular function in people with exercise intolerance, dyspnea/fatigue, or limitations preventing them from carrying out life activities, thus contributing to improving the quality of life. In this sense, respiratory rehabilitation is essential, as its objectives are the control and treatment of symptoms as well as effective adherence to a therapeutic regimen, leading to improvements in the effectiveness of interventions, quality of life, and overall health.

Prof. Dr. Luís Sousa
Dr. Helena José
Dr. Isabel Rabiais
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Advances in Respiratory Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • respiratory tract diseases
  • SARS-CoV-2 pulmonary disease
  • chronic obstructive chronic disease
  • asthma signs and symptoms
  • respiratory rehabilitation
  • rehabilitation nursing
  • nursing
  • physiotherapy
  • exercise
  • physical activity
  • adaptation
  • psychological coping strategies
  • patient safety

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

26 pages, 1656 KiB  
Article
Secure and Transparent Lung and Colon Cancer Classification Using Blockchain and Microsoft Azure
by Entesar Hamed I. Eliwa, Amr Mohamed El Koshiry, Tarek Abd El-Hafeez and Ahmed Omar
Adv. Respir. Med. 2024, 92(5), 395-420; https://doi.org/10.3390/arm92050037 - 17 Oct 2024
Viewed by 363
Abstract
Background: The global healthcare system faces challenges in diagnosing and managing lung and colon cancers, which are significant health burdens. Traditional diagnostic methods are inefficient and prone to errors, while data privacy and security concerns persist. Objective: This study aims to develop a [...] Read more.
Background: The global healthcare system faces challenges in diagnosing and managing lung and colon cancers, which are significant health burdens. Traditional diagnostic methods are inefficient and prone to errors, while data privacy and security concerns persist. Objective: This study aims to develop a secure and transparent framework for remote consultation and classification of lung and colon cancer, leveraging blockchain technology and Microsoft Azure cloud services. Dataset and Features: The framework utilizes the LC25000 dataset, containing 25,000 histopathological images, for training and evaluating advanced machine learning models. Key features include secure data upload, anonymization, encryption, and controlled access via blockchain and Azure services. Methods: The proposed framework integrates Microsoft Azure’s cloud services with a permissioned blockchain network. Patients upload CT scans through a mobile app, which are then preprocessed, anonymized, and stored securely in Azure Blob Storage. Blockchain smart contracts manage data access, ensuring only authorized specialists can retrieve and analyze the scans. Azure Machine Learning is used to train and deploy state-of-the-art machine learning models for cancer classification. Evaluation Metrics: The framework’s performance is evaluated using metrics such as accuracy, precision, recall, and F1-score, demonstrating the effectiveness of the integrated approach in enhancing diagnostic accuracy and data security. Results: The proposed framework achieves an impressive accuracy of 100% for lung and colon cancer classification using DenseNet, ResNet50, and MobileNet models with different split ratios (70–30, 80–20, 90–10). The F1-score and k-fold cross-validation accuracy (5-fold and 10-fold) also demonstrate exceptional performance, with values exceeding 99.9%. Real-time notifications and secure remote consultations enhance the efficiency and transparency of the diagnostic process, contributing to better patient outcomes and streamlined cancer care management. Full article
(This article belongs to the Special Issue Respiratory Rehabilitation: Current Perspectives and Future Challenges)
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop