Abstract
According to Pakistan Medical and Dental Council (PMDC), Pakistan is facing a shortage of approximately 182,000 medical doctors. Due to the shortage of doctors; a large number of lives are in danger especially pregnant woman. A large number of pregnant women die every year due to pregnancy complications, and usually the reason behind their death is that the complications are not timely handled. In this paper, we proposed ontology-based clinical decision support system that diagnoses high-risk pregnant women and refer them to the qualified medical doctors for timely treatment. The Ontology of the proposed system is built automatically and enhanced afterward using doctor’s feedback. The proposed framework has been tested on a large number of test cases; experimental results are satisfactory and support the implementation of the solution.
Highlights
The world has a shortage of professional medical doctors; even in the most developed countries have inadequate position regarding the availability of medical doctors
According to Pakistan Medical and Dental Councils (PMDC), Pakistan is facing a shortage of approximately 182,000 medical doctors [2]
According to world health organization (WHO), almost 500,000 women die every year from pregnancy-related complications [3]
Summary
The world has a shortage of professional medical doctors; even in the most developed countries have inadequate position regarding the availability of medical doctors. According to Pakistan Medical and Dental Councils (PMDC), Pakistan is facing a shortage of approximately 182,000 medical doctors [2] Because of this shortage, pregnant women are affected due to lack of proper and timely treatment, which increased the mortality rate of pregnant women over the years. Increase in blood pressure during pregnancy indicates Hypertension, Obstructed Labor is an anomaly that may arise during the process of labor, Septicemia pollutes the patient’s blood and may occur due to infections caused by bacteria and Hemorrhage occurs due to excessive loss of blood from the patient’s body To overcome this problem, we have proposed ontologybased clinical decision support system which can partially work in place of doctors to diagnose high-risk pregnant woman and refer them to the qualified medical doctors for treatment.
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