A New Algorithm for Online Diseases Diagnosis

Mahmoud Al Ahmad, Mohammad Al Hemairy, Saad Amin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Self-diagnosis of diseases is highly desired and very popular nowadays. This kind of diagnosis will not only permit early disease detection but will also provide access to appropriate treatment promptly. Further to that, due to the frequent increment of diseases nowadays, it becomes impossible for doctors to recall all symptoms and medical conditions for all kind of diseases. This research innovates a new diagnosis algorithm that could be incorporated with web-based tool to provide an efficient online system that corroborate diagnosis using several wearable sensors output. The system incorporates several defined medical conditions. A medical condition is composed of a set of vital signs with abnormal value ranges. The proposed system was experimented on various scenarios and a software simulator has been developed for evaluating and performance testing. Since the algorithm uses an access to the database in order to get real-time vital signs and to check the medical conditions, the calculation of time change depends on the server load. However, during all the tests that were conducted, we observed that the performance of calculating the health Indicator is faster by 10% to 48% than the sequential search method.

Original languageEnglish
Title of host publication2018 IEEE (SMC) International Conference on Innovations in Intelligent Systems and Applications, INISTA 2018
EditorsPlamen Angelov, Tulay Yildirim, Lazaros Iliadis, Yannis Manolopoulos
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538651506
DOIs
Publication statusPublished - Sep 14 2018
Event2018 IEEE International Conference on Innovations in Intelligent Systems and Applications, INISTA 2018 - Thessaloniki, Greece
Duration: Jul 3 2018Jul 5 2018

Publication series

Name2018 IEEE (SMC) International Conference on Innovations in Intelligent Systems and Applications, INISTA 2018

Other

Other2018 IEEE International Conference on Innovations in Intelligent Systems and Applications, INISTA 2018
Country/TerritoryGreece
CityThessaloniki
Period7/3/187/5/18

Keywords

  • medical conditions
  • real-time
  • self-diagnosis
  • sensors
  • simulators
  • vital signs

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Optimization

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