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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Seyf-Eddine, Mezhoud | - |
| dc.date.accessioned | 2021-12-20T12:40:40Z | - |
| dc.date.available | 2021-12-20T12:40:40Z | - |
| dc.date.issued | 2021-09 | - |
| dc.identifier.citation | Spécialité: Sciences et Technologies de l’Information et de la Communication (STIC). | en_US |
| dc.identifier.uri | http://dspace.centre-univ-mila.dz/jspui/handle/123456789/1400 | - |
| dc.description | La pand emie de COVID-19 a submerg e les infrastructures de sant e existantes dans de nombreuses r egions du monde. Les professionnels de la sant e sont non seulement surcharg es, mais egalement xpos es a un risque elev e de transmission nosocomiale des patients COVID-19. Le d epistage et la surveillance de la sant e d'un grand nombre d'individus sensibles ou infect es est une t^ache di cile. Bien que des soins m edicaux professionnels et une hospitalisation soient n ecessaires pour les patients COVID-19 a haut risque, l'isolement a domicile est une strat egie e cace pour les patients a risque faible et moyen ainsi que pour ceux qui sont a risque d'infection et ont et e mis en quarantaine. Cependant, cela n ecessite des techniques e caces pour surveiller a distance les sympt^omes des patients. Les progr es r ecents de l'IA ont renforc e la puissance des techniques d'analyse et peuvent ^etre utilis es pour analyser et surveiller a istance les signes vitaux d'un patient et prendre des mesures instantan ement. Dans cet article, nous proposons le syst eme intelligent My Health, qui est un syst eme EHR et RPM bas e sur des agents intelligents qui ollectent les signes vitaux d'un patient et les analysent, les stockent et appellent un num ero de t el ephone pr ef er e, lancent une alarme t el ephonique pour alerter les personnes a proximit e, envoyer un sms au m edecin responsable du patient et aux services d'urgence en cas de cas critique | en_US |
| dc.description.abstract | The COVID-19 pandemic has overwhelmed the existing healthcare infrastructure in many parts of the world. Healthcare professionals are not only over-burdened but also at a high risk of nosocomial transmission from COVID-19 patients. Screening and monitoring the health of a large number of susceptible or infected ndividuals is a challenging task. Although professional medical attention and hospitalization are necessary for high-risk COVID-19 patients, home isolation is an e ective strategy for low and medium risk patients as well as for those who are at risk of infection and have been quarantined. However, this necessitates e ective techniques for emotely monitoring the patients' symptoms. Recent advances in AI have strengthened the power of analyzing techniques and can be used remotely to analyze and monitor the vital signs of a patient and take actions instantly. In this thesis we propose My Health intelligent system, wich is an Electronic Health Record and a emote Patient Monitoring system based on intelligent agents that collects vital signs of a patient and analyze it, store it and make a call to a favorite number phone, launch phone alarm to alert the nearby persons, sends an sms to the patient`s responsible doctor and emergency operating services if there is a critical case | en_US |
| dc.language.iso | fr | en_US |
| dc.publisher | university center of abdalhafid boussouf - MILA | en_US |
| dc.title | Intelligent System for Telemonitoring Healthcare. Case study : COVID-19 | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | Computer science | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Intelligent System for Telemonitoring.pdf | 2,93 MB | Adobe PDF | View/Open |
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