Comparative Review Of Artificial Neural Network Machine Learning For Diagnosing Anemia in Pregnant Ladies

Volume 5 Issue 4 September - November 2016

Review Paper

Comparative Review Of Artificial Neural Network Machine Learning For Diagnosing Anemia in Pregnant Ladies

Neha Sharma*, Vikas Khullar**

* PG Scholar, Department of Computer Science and Engineering, CT Institute of Engineering Management and Technology, Punjab, India.

** Assistant Professor, Department of Computer Science and Engineering, CT Institute of Engineering Management and Technology, Punjab, India.

Sharma. N and Khullar. V (2016). Comparative Review Of Artificial Neural Network Machine Learning For Diagnosing Aneamia Deficiency in Pregnant Ladies. i-manager's Journal on Information Technology, 5(4), 33-38. https://doi.org/10.26634/jit.5.4.10337

Abstract

Nowadays, it becomes more elusive for doctors to deal with diseases due to lack of proper specialists. Surveys conducted by reputed institutions revealed that Anemia is the most occurring deficiency in pregnant females. With the advancements in artificial computing, the machines are putting best efforts for diagnosing various diseases. The major objective of this paper is the comparative analysis of Artificial Neural Network and fuzzy expert system for the better efficiency in diagnosing anemic patients. Finally, on the basis of reviewed researches, the authors have concluded the best technique for diagnosing anemic patients [6, 16, 23].