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Yayın Clinical decision making system for early diagnosis of types of SMA disease(Işık Üniversitesi, 2019-07-29) Taner, Çağlayan Onur; Çavdaroğlu, Gülsüm Çiğdem; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Enformasyon Teknolojileri Yüksek Lisans ProgramıSpinal muscular atrophy (SMA) is a strict neuromuscular disease that is the most common in infancy, and the third one among young people under 18 years. Diagnose of this diseases can be delayed because symptoms of them can be confused with another diseases. Thus life quality of patient has reduced. Meanwhile, with progression of disease treatment has gotten hard. After diagnose, disease can be treated with di erent methods such as treatment with medicine, care closely. Applications that conducive early diagnose such as decision making system has recruitted to wipe diseases out. My project is a decision making system that shows us to probability of diseases when patients symptoms are entered to the system. It consist of a software system and Excel tables that keeping data and doing mathematical operations. Thanks to this, diagnose process has gotten shorter and it enables to early diagnose. Main focus on my project is to gather maximum number of data that I can obtain and giving of program to the most correctly results. Doctor who uses it has logged in ID number of patient to interface, this le saved with named this ID number. Then age and gender informations are entered and main screen which consist of symptoms has come. Doctor can choose the symptoms of patient easily. After that, according to this symptoms probability of diseases are showed on the screen.
