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  • 标题:Ontology-Based Clinical Decision Support System for Predicting High-Risk Pregnant Woman
  • 本地全文:下载
  • 作者:Umar Manzoor ; Muhammad Usman ; Mohammed A. Balubaid
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2015
  • 卷号:6
  • 期号:12
  • DOI:10.14569/IJACSA.2015.061228
  • 出版社:Science and Information Society (SAI)
  • 摘要: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.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; High-risk patient; Pregnant woman; Ontology-based CDSS; Clinical Decision Support System
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