An Intelligent Tracking System: Application to Acute Respiratory Tract Infection (TrackARTI)

dc.contributor.authorErtugrul, Duygu Celik
dc.contributor.authorElci, Atilla
dc.contributor.authorBitirim, Yiltan
dc.date.accessioned2026-02-06T18:17:20Z
dc.date.issued2017
dc.departmentDoğu Akdeniz Üniversitesi
dc.description41st IEEE Annual Computer Software and Applications Conference (COMPSAC) -- JUL 04-08, 2017 -- Torino, ITALY
dc.description.abstractThis article proposes an Intelligent Tracking System for Acute Respiratory Tract Infection (TrackARTI) via a smart mobile for monitoring disease term of 0-6 age group child patients remotely (e. g. home, clinics). It is possible to maximize the quality of life of the child patients and decrease parental anxiety by keeping the child under control during monitoring stage and achieve a proper distant diagnose by the patient's clinician. This is possible with the designs of intelligent M-Health systems that can be used for diagnosing and monitoring the child patients away from hospitals by presenting the instant medical data to their registered doctors. Intelligent M-Health systems require strong knowledge management technology and ease of extension to provide information from additional medical tools. With the contribution of intelligent M-Health systems, it is possible to infer new facts from the certain gathered medical data during examination from child patients. This article mentions an intelligent and easy medical data gathering system that can be used by pediatricians or parents any time. In addition, the system has its own inferencing mechanism that involves two main steps; inferencing on image processing and Semantic Web rule knowledge base.
dc.description.sponsorshipIEEE,IEEE Comp Soc
dc.identifier.doi10.1109/COMPSAC.2017.58
dc.identifier.endpage142
dc.identifier.isbn978-1-5386-0367-3
dc.identifier.issn0730-3157
dc.identifier.orcid0000-0003-1380-705X
dc.identifier.orcid0000-0002-1780-2806
dc.identifier.scopus2-s2.0-85032876557
dc.identifier.scopusqualityQ3
dc.identifier.startpage137
dc.identifier.urihttps://doi.org/10.1109/COMPSAC.2017.58
dc.identifier.urihttps://hdl.handle.net/11129/8937
dc.identifier.wosWOS:000424861900024
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2017 Ieee 41St Annual Computer Software and Applications Conference (Compsac), Vol 2
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.subjectSmart Mobile Systems
dc.subjectAcute Respiratory Tract Infection Monitoring System
dc.subjectSemantic Web Rule Knowledgebase
dc.subjecte-Health Systems
dc.subjectInferencing
dc.titleAn Intelligent Tracking System: Application to Acute Respiratory Tract Infection (TrackARTI)
dc.typeConference Object

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