India						                            
                            
						
 Research Article
												Application of Artificial Intelligence in the Diagnosis of Eosinophilia 						
Author(s): S. Martha Merlyn, S. Shiney Valentina, Sachidanand Singh, J. Jannet Vennila and Atul KumarS. Martha Merlyn, S. Shiney Valentina, Sachidanand Singh, J. Jannet Vennila and Atul Kumar             
						
												
				 Artificial intelligence is a branch of computer science capable of analysing complex medical data. Their potential  to exploit meaningful relationship with in a data set can be used in the diagnosis, treatment and predicting outcome  in many clinical scenarios. The task of medical diagnosis is a complex one, considering the level vagueness and  uncertainty management, especially when the disease has multiple symptoms.  Fuzzy logic controller (FLC) was used  to design a system for the diagnosis of eosinophilia. Eosinophilia is a common disease which is prevalent in people.  High eosinophilic count in blood is an evidence for prevalence of eosinophilia. It is caused by both external and internal  factors. The remedial measures for eosinophilia should be taken at the earliest, as the effect for it can vary from mild  to severe. The design is based on Mamdani-style inference system which .. Read More»
				  
												DOI:
												 10.4172/2157-7420.1000103 
																	  
Journal of Health & Medical Informatics received 2700 citations as per Google Scholar report