DOI: 10.7763/IJBBB.2012.V2.120
Development of a Medical Expert System as an Expert Knowledge Sharing Tool on Diagnosis and Treatment of Hypertension in Pregnancy
Abstract—This paper outlines the development a Medical Expert System for the diagnosis and treatment Hypertension in Pregnancy to be used in the Reproductive Health Division, at Moi Teaching and Referral Hospital in Eldoret, Kenya. The Diagnostic and Treatment Expert System for Hypertension in Pregnancy has so far remained at the testing phase of its life cycle and is yet to be implemented. During the research, it was found that there is an acute shortage of specialist obstetricians in the Reproductive Health Division which implies that there is also scarce expert knowledge on the diagnosis and treatment of Hypertension in Pregnancy, yet the condition continues to kill many women of reproductive age in Kenya, hence the need to develop the Medical Expert System (MES) as an expert knowledge sharing tool to be used by other medical personnel within the Reproductive Health Division who are not specialists in diagnosis and treatment of Hypertension in Pregnancy.
Index Terms—Rule based expert system, medical expert system, medical informatics.
J. A. Gudu is with the Moi University, Information and Communication Technology Department, (Phone: +254 721 890 40, e-mail: jaelgudu@mu.ac.ke, jaelharrup@gmail.com).
D. Gichoya is with the Moi University, School of Information Sciences, Department of Information Technology, (e-mail: dgichoya@mu.ac.ke, hodit@mu.ac.ke).
P. Nyongesa is with the Moi University, School of Medicine, Department of Reproductive Health (e-mail: drpaulnyongesa@yahoo.com).
A. Muumbo is with the Moi University, Director Information and Communication Technology Department (e-mail: amuumbo@mu.ac.ke, muumboalexis@gmail.com).
Cite: J. Gudu, D. Gichoya, P. Nyongesa, and A. Muumbo, "Development of a Medical Expert System as an Expert Knowledge Sharing Tool on Diagnosis and Treatment of Hypertension in Pregnancy," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 2, no. 5, pp. 297-300, 2012.
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