DESIGN OF EXPERT SYSTEM AS A SUPPORT TOOL FOR EARLY DIAGNOSIS OF PRIMARY HEADACHE
Keywords:Primary headache, Expert system, Naive bayes classifier
AbstractBackground. Headache is the top ranked with 42% percentage of all complaints neurologyâ€™s patients.Â Focused and systematic approach is needed in making a diagnosis of primary headache type becauseÂ management of headache is different for each type.Objective. Enabling users to identify the type of headache.Methods. The experiment was conducted using NaÃ¯ve Bayes classifier method which is the principle is multiplying the percentage likelihood of each variable for each parameter for each class.Results. The percentage value of each parameter obtained from the data of headache patients at neurology polyclinic poly of Dr. Soetomo Hospital within 1 year from the year 2014 to 2015. The percentage value of each class likelihood sought highest value which is the output or decision-diagnosis program. Analysis of each of the input parameters, gender, age, location of head pain, headache characteristics, appeared least autonomous signs, and scale of headache may indicate that each of the options selected by the user influence the decision of the diagnosis program.Conclusion. The design of early detection of primary headaches with the input parameters as mentioned before derived from the raw data as electronic medical records to be analyzed based on methods NaÃ¯ve Bayes classifier resulted in the decision diagnosis of migraine, cluster and TTH have accuracy values by 92 %.
Sistem Informasi Rumah Sakit. Data dan Informasi Kesehatan Penyakit Tidak Menular. Jakarta : Kemenkes RI. 2011.
Syair, Hasan. Nyeri Kepala dan Vertigo. 2008 Jogjakarta : Pustaka Cendekia Press.
Suharjanti, Isti. Tips and Trick Migraine Headache Management. Surabaya: Departement of Neurology Medical Faculty of Airlangga University. 2014.
Hidayati, Hanik B. Korelasi Antara Kadar Adiponektin Plasma dengan MPV (Mean Platelet Volume) Pada Penderita Stroke Trombotik Akut. Surabaya: Fakultas Kedokteran Universitas Airlangga â€“ RSUD Dr. Soetomo. 2011.
Lipton, Richard B. and Bigal, Marcelo E. Migraine and Other Headache Disorders. London: Taylor & Francis Group. 2006.
Machfoed, Moh. Hasan, dkk. Buku Ajar Ilmu Penyakit Saraf. Surabaya: Airlangga University Press. 2011.
Markov, Zdravko and Russell, Ingrid. Probabilistic Reasoning with naÃ¯ve Bayes and Bayesian Networks. New Britain: Department of Computer Science, Central Connecticut State University. 2007.
Patil, Rupali R., dkk. Heart Disease Prediction Sistem using naÃ¯ve Bayes and Jelinek-mercer Smoothing. India: International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 6. 2014.
Pattekari, Shadab A. and Parveen, Asma. Prediction Sistem for heart Disease using NaÃ¯ve Bayes. India: International Journal of Advanced Computer and Mathematical Sciences Vol 3, Issue 3. 2012.
Roenn, Jaime H. V., et al. Current Diagnosis & Treatment Pain. India: Mc Graw Hill. 2006.
Zakrzewska, J. M. Klaster Headache: Review of the Literature. United Kingdom (UK): Oral Medicine, Bartâ€™s and the royal London, Queen Maryâ€™s School of Medicine and Dentistry, 2015.
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