JIT_V5_N4_RevP1
Comparative Review Of Artificial Neural Network Machine Learning For Diagnosing Aneamia in Pregnant Ladies
Neha Sharma
Vikas Khullar
Journal on Information Technology
2277-5250
5
4
33
38
Anemia, Artificial Intelligence, Artificial Neural Network, Fuzzy Expert System
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].
September - November 2016
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