{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T20:44:13Z","timestamp":1771274653343,"version":"3.50.1"},"reference-count":37,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2023,9,6]],"date-time":"2023-09-06T00:00:00Z","timestamp":1693958400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"HC-PSI\u2014Plataforma de Servi\u00e7os Inteligentes","award":["P2020"],"award-info":[{"award-number":["P2020"]}]},{"name":"HC-PSI\u2014Plataforma de Servi\u00e7os Inteligentes","award":["CENTRO-01-0247-FEDER-070275"],"award-info":[{"award-number":["CENTRO-01-0247-FEDER-070275"]}]},{"name":"FCT, Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","award":["P2020"],"award-info":[{"award-number":["P2020"]}]},{"name":"FCT, Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","award":["CENTRO-01-0247-FEDER-070275"],"award-info":[{"award-number":["CENTRO-01-0247-FEDER-070275"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JPM"],"abstract":"<jats:p>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 that are capable of inferring patients\u2019 future health deterioration risks. In this research work, we review recent works in this area and develop an intelligent clinical decision support system (CIDSS) that is capable of providing early information concerning patient health evolution and risk analysis in order to support the treatment of COPD patients. The present work\u2019s CIDSS 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 CIDSS 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 CIDSS 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.<\/jats:p>","DOI":"10.3390\/jpm13091359","type":"journal-article","created":{"date-parts":[[2023,9,6]],"date-time":"2023-09-06T10:07:37Z","timestamp":1693994857000},"page":"1359","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Intelligent Clinical Decision Support System for Managing COPD Patients"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-3586-7260","authenticated-orcid":false,"given":"Jos\u00e9","family":"Pereira","sequence":"first","affiliation":[{"name":"INOV Inesc Inova\u00e7\u00e3o\u2014Instituto de Novas Tecnologias, 1000-029 Lisbon, Portugal"},{"name":"Instituto Universit\u00e1rio de Lisboa (ISCTE-IUL), ISTAR (Information Sciences, Technologies and Architecture Research Center), 1649-026 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1044-5014","authenticated-orcid":false,"given":"Nuno","family":"Antunes","sequence":"additional","affiliation":[{"name":"INOV Inesc Inova\u00e7\u00e3o\u2014Instituto de Novas Tecnologias, 1000-029 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2768-189X","authenticated-orcid":false,"given":"Joana","family":"Rosa","sequence":"additional","affiliation":[{"name":"INOV Inesc Inova\u00e7\u00e3o\u2014Instituto de Novas Tecnologias, 1000-029 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6662-0806","authenticated-orcid":false,"given":"Jo\u00e3o C.","family":"Ferreira","sequence":"additional","affiliation":[{"name":"INOV Inesc Inova\u00e7\u00e3o\u2014Instituto de Novas Tecnologias, 1000-029 Lisbon, Portugal"},{"name":"Instituto Universit\u00e1rio de Lisboa (ISCTE-IUL), ISTAR (Information Sciences, Technologies and Architecture Research Center), 1649-026 Lisboa, Portugal"},{"name":"Logistics, Molde University College, NO-6410 Molde, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1423-2668","authenticated-orcid":false,"given":"Sandra","family":"Mogo","sequence":"additional","affiliation":[{"name":"Departamento de F\u00edsica, Universidade da Beira Interior, 6201-001 Covilh\u00e3, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-6427-0839","authenticated-orcid":false,"given":"Manuel","family":"Pereira","sequence":"additional","affiliation":[{"name":"Hope Care, S.A, 2510-216 \u00d3bidos, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,6]]},"reference":[{"key":"ref_1","unstructured":"(2023, August 01). 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