Balasubramanian et al., 2019 - Google Patents
Rough set theory-based feature selection and FGA-NN classifier for medical data classificationBalasubramanian et al., 2019
View PDF- Document ID
- 9999865993483599261
- Author
- Balasubramanian V
- Rajendran S
- Publication year
- Publication venue
- International Journal of Business Intelligence and Data Mining
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Snippet
The prediction of heart disease is a difficult task, which needs much experience and knowledge. In order to reduce the risk of heart disease prediction, in this paper we proposed a rough set theory-based feature selection and FGA-NN classifier. The overall process of the …
- 238000004422 calculation algorithm 0 abstract description 68
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- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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