Intelligent clinical decision support system for managing COPD patients

• Autor(a) principal: Pereira, José Maria Silva
• Data de Publicação: 2023
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10071/29557
• topic: Chronic Obstructive Pulmonary Disease; Intelligent clinical decision support system; Health remote monitoring systems; Biometric signs errors detection; Early warning score; Inteligência artificial -- Artificial intelligence; Time series prediction; Doença Pulmonar Obstrutiva Crónica; Sistema inteligente de apoio à decisão clínica; Sistema de monitorização remota de saúde; Detecção de erros em sinais biométricos; Escala de alerta precoce; Previsão de séries temporais

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide. Health remote monitoring systems (HRMSs) play a crucial role in managing COPD patients by identifying anomalies in their biometric signs and alerting healthcare professionals. By analyzing the relationships between biometric signs and environmental factors, it is possible to develop artificial intelligence models capable of inferring patients’ future health deterioration risks. In this research work, we review recent works in this area and develop an intelligent clinical decision support system (ICDSS) capable of providing early information concerning patient health evolution and risk analysis in order to support the treatment of COPD patients. The present work’s ICDSS is composed of two main modules: the vital signs prediction module and the early warning score calculation module, which generate the patient health information and deterioration risks, respectively. Additionally, the ICDSS generates alerts whenever a biometric sign measurement falls outside the allowed range for a patient or in case a basal value changes significantly. Finally, the system was implemented and assessed in a real case and validated in clinical terms through an evaluation survey answered by healthcare professionals involved in the project. In conclusion, the ICDSS proves to be a useful and valuable tool for medical and healthcare professionals, enabling proactive intervention and facilitating adjustments to the medical treatment of patients.