The Medical Diagnostic Support System Using Extended Neural Network and Multiagent
نویسندگان
چکیده
Multiagent technologies enable us to explore their sociological and psychological foundations. A medical diagnostic support system is built using this. Moreover, We think that the data inputted can acquire higher diagnostic accuracy by sorting out using a determination table. In this paper, the recurrence diagnostic system of cancer is built and the output error of Multiagents learning method into the usual Neural Network and a Rough Neural Network and Genetic Programming be compared. The data of the prostatic cancer offered by the medical institution and a renal cancer was used for verification of a system. Keywords—Multiagent System, Neural Networks, Medical Diagnostic Support System
منابع مشابه
The Medical Diagnosis Support System with Intelligent Multiagent Techniques by Performance Differential Difference
Multiagent technologies enable us to explore their sociological and psychological foundations. A medical diagnostic support system is built using this. Moreover, We think that the data inputted can acquire higher diagnostic accuracy by sorting out using a determination table. In this paper, the recurrence diagnostic system of cancer is built and the output error of Multiagent learning method in...
متن کاملDesigning an expert system for differential diagnosis of β-Thalassemia minor and Iron-Deficiency anemia using neural network
Introduction: Artificial neural networks are a type of systems that use very complex technologies and non-algorithmic solutions for problem solving. These characteristics make them suitable for various medical applications. This study set out to investigate the application of artificial neural networks for differential diagnosis of thalassemia minor and iron-deficiency anemia. Methods: It is...
متن کاملDesigning and evaluation of a decision support system for prediction of coronary artery disease
Introduction: Since human health is the issue of Medical Research, correct prediction of results is of a high importance. This study applies probabilistic neural network (PNN) for predicting coronary artery disease (CAD), because the PNN is stronger than other methods. Methods: In this descriptive-analytic study, The PNN method was implemented on 150 patients admitted to the Mazandaran Heart...
متن کاملApplication of Artificial Neural Networks in a Two-step Classification for Acute Lymphocytic Leukemia Diagnosis by Blood Lamella Images
Introduction: This study aimed to present a system based on intelligent models that can enhance the accuracy of diagnostic systems for acute leukemia. The three parts including preprocessing, feature extraction, and classification network are considered as associated series of actions. Therefore, any dysfunction or poor accuracy in each part might lead in general dysfunction of...
متن کاملایجاد سیستم تصمیم یار بالینی برای پیش بینی پوکی استخوان
Introduction: Osteoporosis is a common disease in women. Osteoporosis fractures may cause irreparable damages; therefore, early diagnosis and treatment before fractures is an important issue. The ojectiveof this study was to develop a decision support system for diagnosing osteoporosis using artificial neural networks. Method: This developmental study has been done in second half of 2017 bas...
متن کامل