In this research, a multi-layer classifier ensemble framework is proposed based on the optimal combination of heterogeneous classifiers. The proposed model named “HMV” overcomes the limitations of conventional performance bottlenecks by utilizing an ensemble of seven heterogeneous classifiers.
An analysis of the results indicated that the proposed ensemble framework significantly outperforms all other classifiers, which is a successful step ...
The proposed disease detection model, called 'HMV,' was taken into consideration to overcome the drawbacks of a traditional heterogeneous ensemble [24] . A ...
HMV: A medical decision support framework using multi-layer classifiers for disease prediction. Saba Bashir, Usman Qamar, Farhan Hassan Khan, Lubna Naseem.
In this research, a multi-layer classifier ensemble framework is proposed based on the optimal combination of heterogeneous classifiers. The proposed model ...
Jan 6, 2016 · The multi- ple classifiers are used at multiple layers to further enhance disease prediction accuracy. An application has also been developed ...
The document describes a proposed medical decision support framework called HMV that uses a multi-layer ensemble of classifiers for disease prediction.
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HMV: A medical decision support framework using multi-layer classifiers for disease prediction. Journal of Computational Science. 2016 March; 13: 10-25 ...
Mar 13, 2017 · ... HMV: A medical decision support framework using multi-layer. classifiers for disease prediction, Journal of Computational Science 13, January ...
Bashir, HMV: A medical decision support framework using multi-layer classifiers for disease prediction, J. Comput. Sci., № 13, с. 10 https://doi.org/10.1016 ...
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