My Kardio: A telemedicine system based on machine-to-machine (M2M) technology for cardiovascular patients in rural areas with auto-diagnosis feature using k-Nearest Neighbor algorithm

I. Ketut Agung Enriko, Muhammad Suryanegara, Dadang Gunawan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Cardiovascular disease is one of the deadliest diseases which causes about one-third of death in the world. Meanwhile, in growing country like Indonesia, the healthcare service quality is still low. The number of physicians is still lacking, especially in rural areas. This study proposes a telemedicine system named 'My Kardio' based on machine-to-machine (M2M) technology to help cardiovascular patients in rural areas to check their health remotely to a doctor in the urban area. The system is supplemented with an auto-diagnosis system to help the doctor in taking diagnosis. The auto-diagnosing system is developed with k-Nearest Neighbor (kNN) machine learning algorithm. The system has been implemented and trials have been performed which showed good results.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1775-1780
Number of pages6
ISBN (Electronic)9781509059492
DOIs
Publication statusPublished - 27 Apr 2018
Event19th IEEE International Conference on Industrial Technology, ICIT 2018 - Lyon, France
Duration: 19 Feb 201822 Feb 2018

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
Volume2018-February

Conference

Conference19th IEEE International Conference on Industrial Technology, ICIT 2018
Country/TerritoryFrance
CityLyon
Period19/02/1822/02/18

Keywords

  • Internet of things
  • K-nearest neighbor
  • Machine-to-machine
  • Telemedicine

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