Measurement of illness and wellness score of non-communicable disease patients

Tanvir Rahman Khan, Kazi Mozaher Hossein, Kazi Rafiqul Islam Maruf, Akira Fukuda, Ashir Ahmed

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

3 Citations (Scopus)

Abstract

This research aims to develop a technique to measure healthcare data of non-communicable disease (diabetes, hypertension etc.) patients and score their health status. We introduce two different scoring mechanism and apply the methods on our Portable Health Clinic (PHC) patients to verify the effectiveness of the obtained scores. PHC has a triage to classify the patients in four colored groups (green, yellow, orange and red) depending on the severity of their status. These color codes were designed based on WHO's recommendations. On the top of the triage, we applied two mechanisms (a) a simple decimal scoring system, and (b) mathematically obtained weighted score to determine wellness score of a patient. We applied the technique on 5895 patients to see the average wellness score of each patient and displayed them against the age. The displayed graph shows the trend that the younger people have more wellness score. The obtained results match with our traditional wisdom. We want to observe health status of individual patient to verify the accuracy of the scoring system.

Original languageEnglish
Title of host publicationTENCON 2017 - 2017 IEEE Region 10 Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2253-2257
Number of pages5
ISBN (Electronic)9781509011339
DOIs
Publication statusPublished - Dec 19 2017
Event2017 IEEE Region 10 Conference, TENCON 2017 - Penang, Malaysia
Duration: Nov 5 2017Nov 8 2017

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume2017-December
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Other

Other2017 IEEE Region 10 Conference, TENCON 2017
CountryMalaysia
CityPenang
Period11/5/1711/8/17

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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