• Zahwa Arsy Azzahra Airlangga University
  • Endah Purwanti Airlangga University
  • Hanik Badriyah Hidayati Airlangga University



Primary headache, Expert system, Naive bayes classifier


Background. Headache is the top ranked with 42% percentage of all complaints neurology’s patients. Focused and systematic approach is needed in making a diagnosis of primary headache type because management of headache is different for each type.Objective. Enabling users to identify the type of headache.Methods. The experiment was conducted using Naïve 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 Naïve Bayes classifier resulted in the decision diagnosis of migraine, cluster and TTH have accuracy values by 92 %.

Author Biographies

Zahwa Arsy Azzahra, Airlangga University

Biomedical Engineering, Faculty of Science and Technology, Airlangga University, Surabaya

Endah Purwanti, Airlangga University

Lecturer of Biomedical Engineering, Faculty of Science and Technology, Airlangga University, Surabaya

Hanik Badriyah Hidayati, Airlangga University

Neurolog of RSUD Dr. Soetomo Surabaya,Lecturer of Medical Faculty, Airlangga University Surabaya


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 – 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 naïve Bayes and Bayesian Networks. New Britain: Department of Computer Science, Central Connecticut State University. 2007.

Patil, Rupali R., dkk. Heart Disease Prediction Sistem using naïve 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 Naïve 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, Bart’s and the royal London, Queen Mary’s School of Medicine and Dentistry, 2015.






Research Article