An agent-based ”Virtual Clinical Trial” for the analysis and evaluation of COPD patients cohorts behavior
Chronic Obstructive Pulmonary Disease (COPD) is a chronic respiratory condition characterized by inflammation and narrowing of the airways, leading to symptoms such as shortness of breath, coughing, and chest tightness. Treatment typically involves lifestyle adjustments, medication, and pulmonary re...
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| Formato: | Articulo |
| Lenguaje: | Inglés |
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2024
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/173742 |
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I19-R120-10915-1737422024-11-27T20:05:50Z http://sedici.unlp.edu.ar/handle/10915/173742 An agent-based ”Virtual Clinical Trial” for the analysis and evaluation of COPD patients cohorts behavior Un ensayo clínico virtual basado en agentes para el análisis y evaluación del comportamiento de cohortes de pacientes con EPOC Hallaj Asghar, Mohsen Wong, Alvaro Epelde, Francisco Taboada, Manel Rexachs del Rosario, Dolores Luque, Emilio 2024-10 2024-11-27T14:11:33Z en Ciencias Informáticas Chronic obstructive pulmonary disease (COPD) Cohort-based strategies Agent-based modeling Virtual clinical trial Enfermedad pulmonar obstructiva crónica (EPOC) Modelado basado en agentes Estrategias basadas en cohorts Ensayo clínico virtual Chronic Obstructive Pulmonary Disease (COPD) is a chronic respiratory condition characterized by inflammation and narrowing of the airways, leading to symptoms such as shortness of breath, coughing, and chest tightness. Treatment typically involves lifestyle adjustments, medication, and pulmonary rehabilitation to improve lung function and quality of life. This study presents a model examining COPD patient behavior within cohort-based strategies, focusing on how environmental factors impact vital signs across the entire cohort. We developed a comprehensive virtual clinical trial model that encompasses study protocol design, participant recruitment, virtual data collection, outcome analysis, and conclusions. This includes remote symptom monitoring, virtual healthcare consultations, treatment adherence assessments, and research data collection. Additionally, we explore the influence of external variables such as environmental conditions, comorbidities, and lifestyle factors on chronic disease symptoms and disease stability. We used an Agent- Based Model(ABM) to incorporate these factors to assess COPD progression and treatment efficacy. Individual agents represent COPD patients, each characterized by attributes such as age, smoking history, lung function, comorbidities, and treatment plans. La Enfermedad Pulmonar Obstructiva Crónica (EPOC) es una afección respiratoria caracterizada por la inflamación y el estrechamiento de las vías respiratorias, lo que provoca síntomas como dificultad para respirar, tos y opresión en el pecho. El tratamiento generalmente implica ajustes en el estilo de vida, medicación y rehabilitación para mejorar la función pulmonar y la calidad de vida. Este estudio presenta un modelo que examina el comportamiento de los pacientes con EPOC dentro de estrategias basadas en cohortes, centrándose en cómo los factores ambientales afectan los signos vitales de los enfermos. Desarrollamos un modelo integral de ensayo clínico virtual que abarca el diseño del protocolo de estudio, la selección de participantes, la recopilación virtual de datos, el análisis de resultados y las conclusiones. Esto incluye el monitoreo remoto de síntomas, consultas de salud virtuales, evaluaciones de adherencia al tratamiento y la recopilación de datos de investigación. Además, exploramos la influencia de variables externas, como las condiciones ambientales, las comorbilidades y los factores de estilo de vida, en los síntomas de la enfermedad crónica y la estabilidad de la enfermedad. Utilizamos un modelo basado en agentes (MBA) para incorporar estos factores y evaluar la progresión de la EPOC y la eficacia del tratamiento. Los agentes individuales representan a los pacientes con EPOC, cada uno caracterizado por atributos como la edad, el historial de tabaquismo, la función pulmonar, las comorbilidades y los planes de tratamiento. Facultad de Informática Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 130-142 |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas Chronic obstructive pulmonary disease (COPD) Cohort-based strategies Agent-based modeling Virtual clinical trial Enfermedad pulmonar obstructiva crónica (EPOC) Modelado basado en agentes Estrategias basadas en cohorts Ensayo clínico virtual |
| spellingShingle |
Ciencias Informáticas Chronic obstructive pulmonary disease (COPD) Cohort-based strategies Agent-based modeling Virtual clinical trial Enfermedad pulmonar obstructiva crónica (EPOC) Modelado basado en agentes Estrategias basadas en cohorts Ensayo clínico virtual Hallaj Asghar, Mohsen Wong, Alvaro Epelde, Francisco Taboada, Manel Rexachs del Rosario, Dolores Luque, Emilio An agent-based ”Virtual Clinical Trial” for the analysis and evaluation of COPD patients cohorts behavior |
| topic_facet |
Ciencias Informáticas Chronic obstructive pulmonary disease (COPD) Cohort-based strategies Agent-based modeling Virtual clinical trial Enfermedad pulmonar obstructiva crónica (EPOC) Modelado basado en agentes Estrategias basadas en cohorts Ensayo clínico virtual |
| description |
Chronic Obstructive Pulmonary Disease (COPD) is a chronic respiratory condition characterized by inflammation and narrowing of the airways, leading to symptoms such as shortness of breath, coughing, and chest tightness. Treatment typically involves lifestyle adjustments, medication, and pulmonary rehabilitation to improve lung function and quality of life. This study presents a model examining COPD patient behavior within cohort-based strategies, focusing on how environmental factors impact vital signs across the entire cohort. We developed a comprehensive virtual clinical trial model that encompasses study protocol design, participant recruitment, virtual data collection, outcome analysis, and conclusions. This includes remote symptom monitoring, virtual healthcare consultations, treatment adherence assessments, and research data collection. Additionally, we explore the influence of external variables such as environmental conditions, comorbidities, and lifestyle factors on chronic disease symptoms and disease stability. We used an Agent- Based Model(ABM) to incorporate these factors to assess COPD progression and treatment efficacy. Individual agents represent COPD patients, each characterized by attributes such as age, smoking history, lung function, comorbidities, and treatment plans. |
| format |
Articulo Articulo |
| author |
Hallaj Asghar, Mohsen Wong, Alvaro Epelde, Francisco Taboada, Manel Rexachs del Rosario, Dolores Luque, Emilio |
| author_facet |
Hallaj Asghar, Mohsen Wong, Alvaro Epelde, Francisco Taboada, Manel Rexachs del Rosario, Dolores Luque, Emilio |
| author_sort |
Hallaj Asghar, Mohsen |
| title |
An agent-based ”Virtual Clinical Trial” for the analysis and evaluation of COPD patients cohorts behavior |
| title_short |
An agent-based ”Virtual Clinical Trial” for the analysis and evaluation of COPD patients cohorts behavior |
| title_full |
An agent-based ”Virtual Clinical Trial” for the analysis and evaluation of COPD patients cohorts behavior |
| title_fullStr |
An agent-based ”Virtual Clinical Trial” for the analysis and evaluation of COPD patients cohorts behavior |
| title_full_unstemmed |
An agent-based ”Virtual Clinical Trial” for the analysis and evaluation of COPD patients cohorts behavior |
| title_sort |
agent-based ”virtual clinical trial” for the analysis and evaluation of copd patients cohorts behavior |
| publishDate |
2024 |
| url |
http://sedici.unlp.edu.ar/handle/10915/173742 |
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