DIAGNOSA PENYAKIT DIABETES DENGAN METODE FORWARD CHAINING
Diabetes is a disease that causes many deaths. From year to year, the number of people with diabetes is increasing. If known earlier, sufferers can control their disease through medication, lifestyle changes, and eating patterns. With the technology that helps in diagnosing the disease, will help patients to find out the disease without having to see a doctor. By applying the forward chaining method that works by reading the facts that are then applied in the applicable rules, so as to produce a conclusion, the system reads the symptoms complained of by the patient to find out the type of diabetes suffered
Bansal, N. (2015). Prediabetes diagnosis and treatment: A review. World Journal of Diabetes, 6(2), 296–303. https://doi.org/10.4239/wjd.v6.i2.296
Cho, N. H., Shaw, J. E., Karuranga, S., Huang, Y., Rocha, J. D., Ohlrogge, A. W., & Malanda, B. (2018). IDF Diabetes Atlas : Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Research and Clinical Practice, 138, 271–281. https://doi.org/10.1016/j.diabres.2018.02.023
Choubey, D. K., & Paul, S. (2017). Rule based diagnosis system for diabetes, (January).
Hardani, S. (2019). Laporan Akhir Penelitian Sistem Pendukung Keputusan Diagnosa Diabetes. Jakarta: Jakarta.
Kementrian Kesehatan. (2014). Situasi dan Analisis Diabetes. Pusat Data Dan Informasi Kementrian Kesehatan RI, (Diabetes).
Rupnawar, A., Jagdale, A., & Navsupe, S. (2016). Study on Forward Chaining and Reverse Chaining in Expert System. International Journal of Advanced Engineering Research and Science, 3(12), 60–62. https://doi.org/10.22161/ijaers/3.12.12
Salisah, F. N., Lidya, L., & Defit, S. (2015). SISTEM PAKAR PENENTUAN BAKAT ANAK DENGAN MENGGUNAKAN METODE FORWARD CHAINING. Jurnal Ilmiah Rekayasa Dan Manajemen Sistem Informasi, 1(1), 62–66.
Makan Dengan Kadar Gula Darah Pada Penderita Diabetes Mellitus. Jurnal Kesehatan Vokasional, 3(1), 29–34. Retrieved from https://journal.ugm.ac.id/jkesvo/article/view/34080
Zeki, T. S., Malakooti, M. V, Ataeipoor, Y., & Tabibi, T. (2012). An Expert System for Diabetes Diagnosis. American Academic & Scholarly Research Journal, 4(5), 1–13. Retrieved from http://www.aasrc.org/aasrj/index.php/aasrj/article/view/581
Abstract viewed = 31 times
PDF downloaded = 19 times