Inlämning av Examensarbete / Submission of Thesis

Asma Shaheen& Waqas Ahmad Khan MCS-2009-20, pp. 83. COM/School of Computing, 2009.

The work

Författare / Author: Asma Shaheen& Waqas Ahmad Khan
rababhina@hotmail.com,waka07@student.bth.se
Titel / Title: Intelligent Decision Support System in Diabetic eHealth Care-From the perspective of Elders
Översatt titel / Translated title: Intelligent Decision Support System i Diabetiskt eHälsa Care
Abstrakt Abstract:

This thesis proposes intelligent decision support System in diabetes eHealth care in order to improve the quality of life of Diabetes patients. Diabetes is one of the chronic diseases that can cause the serious health complication. Patients of diabetes especially elder people need more care than others as well as regularity in medicine.

Only patients themselves or doctors cannot provide the care that patient needs. To improve the quality of daily life of patient a team of care providers work together. This thesis covers the different fields of intelligent decision support system for the diabetes type2 patients. The proposed intelligent decision support system is 24-hours accessible for the patients and care providers. The system stores the patients’ information and gives them optimal advices according to their condition entered by them. It also provides adequate and detail information about the patient to the health-care providers that help them to take an optimal decision about the patients. If system analyzes any alarming condition of the patient, it generates automatic alarming message for the health-care providers to help the patients. We validate our study by conducting interviews with diabetes health-care providers and perform questionnaires filled from diabetes type2 patients.

Ämnesord / Subject: Datavetenskap - Computer Science\Software Engineering
Datavetenskap - Computer Science\General
Nyckelord / Keywords: IDSS (intelligent decision support system), IMIS (Integrated mobile information system), eHealth, Diabetes mellitus, architecture of IDSS, Diabetes patients’ problems.

Publication info

Dokument id / Document id:
Program:/ Programme Datavetenskapligt program/Computer Science
Registreringsdatum / Date of registration: 06/15/2009
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)

Context

Handledare / Supervisor: Guohua Bai & Mr. Liu Yang
guohua.bai@bth.se, liuyang2006@gmail.com
Examinator / Examiner: Guohua Bai
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: COM/School of Computing

+46 455 38 50 00
I samarbete med / In co-operation with: Blekinge Institute of Technology

Files & Access

Bifogad uppsats fil(er) / Files attached: master_thesis_asma.pdf (1456 kB, öppnas i nytt fönster)