Efficiency of Artificial Neural Networks (Percepton Network) in the Diagnosis of Thyroid Diseases | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 11, Volume 3, Issue 1, June 2006, Pages 11-22 PDF (427.39 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2006.164042 | ||
| Authors | ||
| Suher A. Dawood1; Laheeb M. Ibrahim2; Nabil D. Kharofa3 | ||
| 1College of Administration and Economics University of Mosul, Iraq | ||
| 2College of Computer Sciences Mathematics | ||
| 3Hazem Al-Hafiz Hospital for Oncology and Nuclear Medicine | ||
| Abstract | ||
| Thyroid gland software which was obtained through research is considered an effective system to diagnosed thyroid gland automatically. This is done by a built complementary database which is flexible and easy at work with data patients concerning those patients under observation at Hazim Al-Hafith Hospital for Oncology & Nuclear Medicine in Mosul. The activity of Thyroid gland software was tested on information about 200 Patients, and information about them was stred in Thyroid database, after that we diagnosed The Thyroid Gland Disease by using an artificial neural network (Perceptron) that is able to recognize Thyroid Gland Disease in good recognized ratio and with a ratio close to the doctor diagnosis depending on (sign & symptoms) which may enables the doctors in depending on it the right diagnosis for the disease. | ||
| Keywords | ||
| artificial neural network; Perceptron; Thyroid | ||
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