A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary dise

dc.citation.epage1217
dc.citation.spage1213
dc.citation.volume25
dc.contributor.authorGurbeta, Lejla
dc.contributor.authorBadnjevic, Almir
dc.contributor.authorMaksimovic, Mirjana
dc.contributor.authorOmanovic-Miklicanin, Enisa
dc.contributor.authorSejdic, Ervin
dc.date.accessioned2023-07-19T11:50:50Z
dc.date.available2023-07-19T11:50:50Z
dc.date.issued2018
dc.description.abstractThis paper presents the development and real-time testing of an automated expert diagnostic telehealth system for the diagnosis of 2 respiratory diseases, asthma and Chronic Obstructive Pulmonary Disease (COPD). The system utilizes Android, Java, MATLAB, and PHP technologies and consists of a spirometer, mobile application, and expert diagnostic system. To evaluate the effectiveness of the system, a prospective study was carried out in 3 remote primary healthcare institutions, and one hospital in Bosnia and Herzegovina healthcare system. During 6 months, 780 patients were assessed and diagnosed with an accuracy of 97.32%. The presented approach is simple to use and offers specialized consultations for patients in remote, rural, and isolated communities, as well as old and less physically mobile patients. While improving the quality of care delivered to patients, it was also found to be very beneficial in terms of healthcare
dc.identifier.doi10.1093/jamia/ocy055
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/495
dc.language.isoen
dc.sourceJournal of the American Medical Informatics Association
dc.subjecthealthcare, telehealth, respiratory disease, asthma, COPD, telemetry, expert system
dc.titleA telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary dise
dc.typeArticle
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