CFP last date
20 January 2025
Reseach Article

DIABOT-An Expert System in management of Diabetics using Artificial Intelligence

by Sanyukta Suman, Srivani P. Badala, Dibya Malla Thakuri, Akshay Raj Manandhar, Riyanna Luvella Martis
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 4
Year of Publication: 2018
Authors: Sanyukta Suman, Srivani P. Badala, Dibya Malla Thakuri, Akshay Raj Manandhar, Riyanna Luvella Martis
10.5120/ijca2018917516

Sanyukta Suman, Srivani P. Badala, Dibya Malla Thakuri, Akshay Raj Manandhar, Riyanna Luvella Martis . DIABOT-An Expert System in management of Diabetics using Artificial Intelligence. International Journal of Computer Applications. 182, 4 ( Jul 2018), 33-36. DOI=10.5120/ijca2018917516

@article{ 10.5120/ijca2018917516,
author = { Sanyukta Suman, Srivani P. Badala, Dibya Malla Thakuri, Akshay Raj Manandhar, Riyanna Luvella Martis },
title = { DIABOT-An Expert System in management of Diabetics using Artificial Intelligence },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2018 },
volume = { 182 },
number = { 4 },
month = { Jul },
year = { 2018 },
issn = { 0975-8887 },
pages = { 33-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number4/29753-2018917516/ },
doi = { 10.5120/ijca2018917516 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:10:24.212216+05:30
%A Sanyukta Suman
%A Srivani P. Badala
%A Dibya Malla Thakuri
%A Akshay Raj Manandhar
%A Riyanna Luvella Martis
%T DIABOT-An Expert System in management of Diabetics using Artificial Intelligence
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 4
%P 33-36
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The proposed project, “Diabot” is targeted towards those who are diabetic, to be able to take care of themselves without having the trouble to arrange for appointments or consultation. The debate is an artificial intelligence based expert system that can be used by diabetic patients for regulating and examining their current vital information at the convenience of their own homes. This boat is, therefore a “companion” both for the patient, which can be accessed at any time. Diabot will measure the necessary parameters of the patient’s blood and will consult them about their medication or suggest activities to do according to the reading that is taken by the reading device. The “Diabot” will have a knowledge base through various medical databases and case files pertaining to diabetic patients, which will allow the system to make inferences for making decisions. The main objective of the proposed project is to design an expert system for diagnosis of diabetes and to provide the patient with an equivalent consultancy as such provided by a doctor, so the patient has easy access to health care. From this proposed project, there can be a hope to provide a cost-effective and user-friendly personal healthcare bot which is an expert system in the management of diabetes using Artificial Intelligence.

References
  1. Chen, Rung-Ching, et al. "A decision support system for diabetes medicine selection using patient centered treatment based on fuzzy logic and domain ontology." International Journal of Innovative Computing, Information and Control 13.5 (2017): 1681-1692.
  2. Vachon, Brigitte, Ai-Thuy Huynh, Mylaine Breton, Louise Quesnel, Michel Camirand, Jeannette Leblanc, and Sylvie Tardif. "Patients’ expectations and solutions for improving primary diabetes care." International journal of health care quality assurance 30, no. 6 (2017): 554-567.
  3. Singla, Jimmy, Dinesh Grover, and Abhinav Bhandari. "Medical expert systems for diagnosis of various diseases." International Journal of Computer Applications 93, no.7 (2014).
  4. Lalka, Neeru, and Sushma Jain. "Fuzzy based expert system for diabetes diagnosis and insulin dosage control." In Computing, Communication & Automation (ICCCA), 2015 International Conference on, pp. 262-267. IEEE, 2015.
  5. Nawaz, R., M. Jahangir, M. Ahmed, and H. Afzal. "An expert system for diabetes prediction using auto tuned multi-layer perceptron." (2017).
  6. Zeki, Tawfik Saeed, Mohammad V. Malakooti, Yousef Ataeipoor, and S. Talayeh Tabibi. "An expert system for diabetes diagnosis." American Academic & Scholarly Research Journal 4, no. 5 (2016): 1.
  7. Available [Online] from “Glooko” https://www.myomnipod.com/poddersupport/aps-data-management/glooko.
  8. Available [Online] from https://www.mynetdiary.com/diabetes.html
  9. Available [Online]: Diabetes in check: http://www.diabetesincontrol.com/diabetes-in-check-blood-glucose-carb-tracker/
  10. Available [Online]: from June 2018:The best apps: https://www.healthline.com/health/diabetes/top-iphone-android-apps
  11. Availabale [Online]: From June 2018: My dario: https://mydario.com/the-app/
  12. Available(online) from : https://www.glucosio.org/
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence Expert System Knowledge Base Inference Engine Diabetes