Open AccessNeural Computation based General Disease Prediction Model
Author(s) -
S. Prince Mary,
B. R. Bharathi,
S. Vigneshwari,
R. Sathyabama
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b2329.078219
Subject(s) - artificial neural network , computer science , genetic algorithm , artificial intelligence , machine learning , disease , data mining , predictive modelling , computation , pattern recognition (psychology) , algorithm , medicine , pathology
To predict the patient disease using soft computing technique is the primary motto of the disease prediction system. Currently, researchers are trying to develop a disease prediction system using pattern mining technique. Here, a technique for disease prediction system using genetic algorithm and artificial neural network is proposed. The genetic algorithm is used for mining the most occurrences of disease sequences rules. To form the disease prediction system, the best rule which is obtained by means of genetic algorithm is used. Artificial neural network is trained to predict the disease. Accuracy of disease prediction is compared with other prediction techniques