Innovative Knowledge Based System – Decision Support System for Diagnosis of Carcinogenesis

نویسندگان

  • N. P. Gopalan
  • A. Malathi
چکیده

Medical diagnosis is one of the most important significant applications of computer science. Knowledge based system is to produce intelligent machine or software which emulate human being’s intelligence. Integration of artificial Intelligence and knowledge based systems leads to a new technology. Application of knowledge based system has been aptly applied to make diagnosis process easier and faster. Earlier diagnosis of carcinogenesis saves enormous lives. The goal of this paper is to evaluate the risk factor of lung cancer disease using knowledge based systems artificial neural network, fuzzy and expert system and the implementation of ANN using back propagation , fuzzy system with linguistic variables ,membership function along with using expert system rules and image processing. . In this paper the diagnosis systems are demonstrated using neuro fuzzy, expert systems and image processing.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Model-Driven Decision Support System for Software Cost Estimation (Case Study: Projects in NASA60 Dataset)

Estimating the costs of software development is one of the most important activities in software project management. Inaccuracies in such estimates may cause irreparable loss. A low estimate of the cost of projects will result in failure on delivery on time and indicates the inefficiency of the software development team. On the other hand, high estimates of resources and costs for a project wil...

متن کامل

A Decision Support System for Diagnosis of Diabetes and Hepatitis, based on the Combination of Particle Swarm Optimization and Firefly Algorithm

Introduction: Clinical Decision Support Systems (CDSS) are designed in the form of computer programs that help medical professionals make decisions about disease diagnosis. The main aim of these systems is to assist physicians in diagnosing diseases, in other words, a physician can interact with the system and use them to analyze patient data, diagnose diseases, and other medical activities. Me...

متن کامل

A Decision Support System for Diagnosis of Diabetes and Hepatitis, based on the Combination of Particle Swarm Optimization and Firefly Algorithm

Introduction: Clinical Decision Support Systems (CDSS) are designed in the form of computer programs that help medical professionals make decisions about disease diagnosis. The main aim of these systems is to assist physicians in diagnosing diseases, in other words, a physician can interact with the system and use them to analyze patient data, diagnose diseases, and other medical activities. Me...

متن کامل

A Fuzzy Rule-based Expert System for the Prognosis of the Risk of Development of the Breast Cancer

Soft Computing techniques play an important role for decision in applications with imprecise and uncertain knowledge. The application of soft computing disciplines is rapidly emerging for the diagnosis and prognosis in medical applications. Between various soft computing techniques, fuzzy expert system takes advantage of fuzzy set theory to provide computing with uncertain words. In a fuzzy exp...

متن کامل

Determination of Minimum Data Set for Designing a Diagnosis Decision Support System and Medication Follow-Up for Multiple Sclerosis

Background and Purpose: Diagnosis of multiple sclerosis (MS) is complicated because of the lack of definite factor. Decision support systems are expert systems which help physicians in decision-making process. First step in designing the system is identification of a minimum dataset (MDS). This study aimed to determine minimum dataset required to design diagnosis decision support system. Mater...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015