Role of Soft Computing Approaches in HealthCare Domain: A Mini Review

摘要: In the present era, soft computing approaches play a vital role in solving different kinds of problems and provide promising solutions. Due to popularity approaches, these have also been applied healthcare data for effectively diagnosing diseases obtaining better results comparison traditional approaches. Soft ability adapt itself according problem domain. Another aspect is good balance between exploration exploitation processes. These aspects make more powerful, reliable efficient. The above mentioned characteristics suitable competent health care data. first objective this review paper identify various which are used predicting diseases. Second applied. Third categories clinical support system. literature, it found that large number from Some particle swarm optimization, genetic algorithm, artificial neural network, vector machine etc. A detailed discussion on presented literature section. This work summarizes domain last one decade. categorized five based methodology, classification model system, expert fuzzy neuro rule system case Lot techniques discussed all summarized form tables also. focuses accuracy rate technique tabular information provided each category including author details, technique, disease utility/accuracy.