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http://dx.doi.org/10.1183/23120541.00249-2018 | DOI Listing |
J Med Internet Res
December 2024
Department of Pediatric Pulmonology, Amalia Children's Hospital, Radboud University Medical Center, Nijmegen, Netherlands.
J Bodyw Mov Ther
October 2024
Gazi University, Faculty of Health Sciences, Department of Physical Therapy and Rehabilitation, Ankara, Turkey. Electronic address:
Int J Gen Med
November 2024
School of Nursing, National Taipei University of Nursing and Health Sciences, Taipei City, Taiwan.
Long COVID refers to symptoms that appear 3 months after initial infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative virus of Coronavirus disease 2019 (COVID-19), and last for at least 2 months, not attributable to other diagnoses. This health issue significantly burdens patients' quality of life, the economy, and society. Improving the af-termath of COVID-19 is a crucial global health issue in the post-pandemic era.
View Article and Find Full Text PDFComput Biol Med
January 2025
EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal; Serviço de Imunoalergologia, Unidade Local de Saúde de São João, Porto, Portugal; Laboratório de Imunologia Básica e Clínica, Departamento de Patologia, Faculdade de Medicina da Universidade do Porto, Portugal.
Problem: Current spirometers face challenges in evaluating acceptability criteria, often requiring manual visual inspection by trained specialists. Automating this process could improve diagnostic workflows and reduce variability in test assessments.
Aim: This study aimed to apply transfer learning to convolutional neural networks (CNNs) to automate the classification of spirometry flow-volume curves based on acceptability criteria.
Digit Health
November 2024
Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands.
Introduction: Asthma control is often suboptimal, which is associated with incorrect medication use and poor asthma management by patients. Astmakompas, a digital self-management intervention, comprises a mobile app for patients, a web portal for healthcare professionals (HCP), and a wireless spirometer. Together, these components are intended to facilitate symptom monitoring, patient-HCP communication and assist in asthma-related self-management.
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