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ThinkMind // eTELEMED 2018, The Tenth International Conference on eHealth, Telemedicine, and Social Medicine // View article etelemed_2018_10_20_48019


An Enhanced Approach for the Prioritisation in Patent Ductus Arteriosus (PDA) Services Using Data Mining Techniques

Authors:
Noura Alzeer
Hessah Alsalamah
Alaaeldin Hafez

Keywords: Data Mining (DM); Healthcare; Patent Ductus Arteriosus (PDA); Waiting Lists Management.

Abstract:
The past few decades have witnessed a huge increase in the number of heart disease patients globally. An estimated 17.7 million people died from Cardio-Vascular Diseases (CVDs) in 2015, representing 31% of all global deaths. Saudi Arabia is no exception when it comes to the growing number of CVDs patients. The most common CVDs in Saudi Arabia is Patent Ductus Arteriosus (PDA), which is a persistent opening between two major blood vessels leading from the heart. Unlike many other fields of medicine, PDA is time-related and cannot be delayed. Thus, there is a need to have a Decision Support System (DSS) that can analyze the crucial statistics in deciding the level of urgency for each child that requires PDA surgery. This research proposes an approach to classify the PDA patients according to their urgency level based on their current conditions and the results of scans and tests they have undergone. An enhanced approach, which uses Data Mining (DM) techniques, is proposed to manage waiting lists and determine the priority among patients, as well as diagnosis of certain diseases. This approach aims to support early prevention and intervention to increase life expectancy and well-being of PDA patients. Our proposed approach achieved an accuracy of 99.15%.

Pages: 116 to 123

Copyright: Copyright (c) IARIA, 2018

Publication date: March 25, 2018

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-618-7

Location: Rome, Italy

Dates: from March 25, 2018 to March 29, 2018

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