slugNeurological Disorder Diagnosis System

Abstract

In this paper we have presented Neurological Disorder Diagnosis System. This paper present an account of RuleBased Expert System (RBES) for Neurological Disorders, i.e., Alzheimer, Parkinson, Tetanus disease, Cerebral Palsy, Meningitis, Epilepsy, Multiple Sclerosis, Stroke, Cluster headache, Migraine, Meningitis. Neurological disorders are mainly concerned with the malfunctioning of nervous system. Detection and monitoring of neurological disorders at early stage is essential for quality life and facilitate necessary diagnosis and treatment of the diagnosed disease. The focus of this paper is the development of Neurological Disorder Diagnosis System (NDDS) which can act as home agent to detect the disorder with accuracy to that of an expert. The proposed model provides health professionals with a decision-making tool which works through a session of query and answer with the patient. The proposed system is a rule based expert system which allows non expert to detect the nervous system disorders at an early stage. The system consists of a knowledge base with some facts. On the basis of these facts the medical practitioner will fed symptoms as input. The system by applying inference procedures will return the output as results. More than10 types of neurological diseases can be diagnosed and treated by our system.

Authors and Affiliations

Atul Krishan Sharma, Stuti Gupta

Keywords

Related Articles

A Review Report For Study of Drilling For Different Materials In Machining

Metal drilling processes are important due to increased consumer demands for quality metal drilling related products reduce tool wear and better product surface roughness that has driven the metal drilling industry to c...

Mining of Frequent Itemset in Hadoop

Information are produced from different sources, the quick move from computerized advances has prompted development of huge information. Terabytes of information is produced every day by modern information systems and d...

3D Graphical Password Authentication System

Current authentication systems suffer from many weaknesses. Textual passwords are commonly used; however, users do not follow their requirements. Users tend to choose meaningful words from dictionaries, which make textu...

Experimental Study of Coconut Shell Concrete

The rising cost of construction materials in developing countries has necessitated research into the use of alternative materials civil engineering construction. In this study, a concrete mix of 1:1.51:3.06 was used as...

Face Detection Based On Skin Color

Face Detection is one of the challenging problems in image processing and it plays an important role in variety of applications. There have been various approaches proposed for Face Detection Based On template matching...

Download PDF file
  • EP ID EP18293
  • DOI -
  • Views 292
  • Downloads 11

How To Cite

Atul Krishan Sharma, Stuti Gupta (2014). slugNeurological Disorder Diagnosis System. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(6), -. https://europub.co.uk/articles/-A-18293