Artificial Neural Networks in Medical Decision Making Systems: An Application to Pulmonary Diseaseas' Diagnosis through VHDL Synthesis
نویسندگان
چکیده
A prototype Medical Decision Making System (MDMS) based on a powerful subclass of Artificial Neural Networks (ANNs) and its hardware description using VHDL, is the topic of this article. This MDMS, is generally structured to cover a whole category of distressed body organs. An application on the full spectrum of Pulmonary Diseases (PDs) is presented, whereas the ANNs that compose this MDMS have been taught by using real-world patients' clinical data. The VHDL language provides the means to both realize the proposed platform and optimize the synthesized implementation hardware.
منابع مشابه
Designing 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 کاملDiagnosis Prediction of Lichen Planus, Leukoplakia and Oral Squamous Cell Carcinoma by using an Intelligent System Based on Artificial Neural Networks
Introduction: Diagnosis, prediction and control of oral lesions is usually done classically based on clinical signs and histopathologic features. Due to lack of timely diagnosis in all conventional methods or differential diagnosis, biopsy of patient is needed. Therefore, the patient might be irritated. So, an intelligent method for quick and accurate diagnosis would be crucial. Intelligent sys...
متن کاملEntrepreneurship policy and innovative indicators of industrial companies: Evaluation by MCDM and ANN Methods
The present paper presented a methodology for prioritizing the innovative and entrepreneurial indicators using Multi Criteria Decision Making (MCDM) and Artificial Neural Networks (ANNs), taking into account three individual, organizational and cultural dimensions simultaneously in decision making procedure. This methodology has two main advantages: first, the speed of operation in the accounti...
متن کاملDiagnosis of brain tumor using image processing and determination of its type with RVM neural networks
Typically, the diagnosis of a tumor is done through surgical sampling, which is more precise with existing methods. The difference is that this is an aggressive, time consuming and expensive way. In the statistical method, due to the complexity of the brain tissues and the similarity between the cancerous cells and the natural tissues, even a radiologist or an expert physician may also be in er...
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 کامل