Simple screening for high-risk pregnancies in rural areas based on an expert system

被引：0
作者：
Faculty of Science and Engineering, Jenderal Soerdiman University, Jl. HR. Boenjamin 708, Purwokerto, Indonesia [1 ]
不详 [2 ]
机构：
[1] Faculty of Science and Engineering, Jenderal Soerdiman University, Jl. HR. Boenjamin 708, Purwokerto
[2] Faculty of Medical and Health Sciences, Jenderal Soerdiman University, Jl. HR. Boenjamin 708, Purwokerto
来源：
Telkomnika Telecomun. Compt. Electr. Control | / 2卷 / 661-669期
关键词：
Analytical hierarchy process; Developing countries; Expert system; High risk pregnancies; Maternal mortality;
D O I：
10.12928/TELKOMNIKA.v13i2.988
中图分类号：
学科分类号：
摘要：
The high maternal and infant mortality rates in developing countries, especially Indonesia, are quite alarming. There are many factors that cause high mortality numbers; one of them is the delay in handling cases of high-risk pregnancies. The main problem faced by developing countries is the lack of health facilities, including medical equipment and human resources. This research aims to develop a simple system that can be used to screen high-risk pregnancies. This system is based on an expert system. The Analytical Hierarchy Process (AHP) method is used in making decisions about potentially high-risk pregnancy patients. Essentially, the system can be used by anyone, anywhere, to carry out early screening of high-risk pregnancy patients, so that delays in the treatment of these patients can be resolved, because the symptoms of high-risk pregnancy are known from the beginning. Results indicate that this system shows promise for further development.
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页码：661 / 669
页数：8
相关论文
共 22 条
  • [1] (2011)
  • [2] Kematian Ibu Indonesia Tertinggi di Asean
  • [3] Supriyanti R., Teddy S., Eko M., Haris B.W., Analytical Hierarchy Process for Estimating Pregnancy Diseases, Proceeding of International Conference on Biomedical Science and Engineering, (2014)
  • [4] Mayo C., High-risk pregnancy: Know what to expect
  • [5] Advantages of Expert System, (2014)
  • [6] Hasan M.A., Sher-E-Alamand K.M., Chowdhury A.R., Human Disease Diagnosis Using a Fuzzy Expert System, Journal of Computing, 2, 6, pp. 66-70, (2010)
  • [7] Prasadl B.D.C.N., Krishna P.E.S.N., Sagar Y., An Approach to Develop Expert System in Medical Diagnosis Using Machine Learning Algorithm (ASTHMA) and Performance Study, International Journal of Soft Computing (IJSC), 2, 1, pp. 26-33, (2011)
  • [8] Mitra S., Fuzzy MLP based Expert System for Medical Diagnosis, Fuzzy Sets and System, 65, pp. 285-296, (1994)
  • [9] Shah T.P., Pooja J.S., Connectionist Expert System for Medical Diagnosis using ANN-A case study of skin disease Scabies, International Journal of Advanced Research in Computer Science and Software Engineering, 3, 8, pp. 227-230, (2013)
  • [10] Schatz C.V., Fabio K.S., Intelligent and Expert Systems in Medicine-Areview, (2011)
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