2017 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) 2017
DOI: 10.1109/itcosp.2017.8303128
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Cited by 8 publications
(4 citation statements)
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“…Considering the attributes on the above criteria will increase the scope of prediction. In [11] clustering technique is used along with feature selection technique but the evaluation of the model was not provided. In this work statistical evaluation metrics were considered.…”
Section: Comparing Results Of Three Algorithmsmentioning
confidence: 99%
See 1 more Smart Citation
“…Considering the attributes on the above criteria will increase the scope of prediction. In [11] clustering technique is used along with feature selection technique but the evaluation of the model was not provided. In this work statistical evaluation metrics were considered.…”
Section: Comparing Results Of Three Algorithmsmentioning
confidence: 99%
“…In case of data without noise the values of accuracy, PPV, sensitivity and specificity obtained were 95.22%, 98.43%, 95.49% and 94.19% respectively. Umamaheswari and Isakki [11] performed k-medoid clustering technique to predict myocardial infarction. They used dataset gathered from UCI machine learning (ML) repository.…”
Section: Literature Surveymentioning
confidence: 99%
“…Clustering was performed using the K-means algorithm. The clustering results were further used to predict heart disease [32].…”
Section: Clustering Used In Healthcare Systemsmentioning
confidence: 99%
“…They have used the Fuzzy C-means technique for grouping the students. Umamaheswari et al [21] proposed K-means clustering technique for Myocardial Infarction Prediction. The system discovered and extracted hidden information from historical heart disease data sets.…”
Section: Review Of Literaturementioning
confidence: 99%