A Virtual Clinical Trial for Evaluation of Intelligent Monitoring of Exacerbation Level for COPD Patients

Mohsen Hallaj Asghar, Alvaro Wong, Francisco Epelde, Manel Taboada, Dolores Isabel Rexachs del Rosario, Emilio Luque

Producció científica: Capítol de llibreCapítolRecercaAvaluat per experts

1 Citació (Scopus)

Resum

Chronic Obstructive Pulmonary Disease (COPD) is a progressive respiratory condition, ranking as the third leading cause of global morbidity and mortality. In this project, we simulate Real Clinical Trials using Virtual Clinical Trials (VCT) for COPD patients, offering possibilities not feasible in traditional trials, such as exploring treatment adherence levels and creating virtual cohorts with specific characteristics. We propose a cohort-based management strategy leveraging data analytics to identify patterns within the COPD patient population and advocate for employing a finite-state machine (FSM) approach to model COPD exacerbations. Further research and validation are crucial to refine and scale this integrated model.
Idioma originalAnglès
Títol de la publicacióComputational Science – ICCS 2024. ICCS 2024. Lecture Notes in Computer Science
EditorsLeonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
Pàgines137-144
Nombre de pàgines8
Volum14834
ISBN (electrònic)978-3-031-63759-9
DOIs
Estat de la publicacióPublicada - 29 de juny 2024

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