Comprehensive Study on Ensemble Classification for Medical Applications

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    The aims of this paper were to provide a comprehensive review of classification techniques and their alternative approaches in data mining. Classification is a data mining technique that assigns categories to a collection of data to aide in more accurate predictions and analyses. It is one of the several methods intended to make the analysis of very large datasets effective. The goal of classification is to accurately predict the target class for each case in the data. One of the classification approaches is the ensemble method. In recent years, the usage of ensemble method in medical application has been increasing. Not only in medical areas, it can also help researchers to solve modem problems in many fields like machine learning, data mining, and other related areas.



  • Keywords

    Classification, Single classification, Ensemble methods, Medical application.

  • References

      [1] Rahman, T., Ibrahimy, M. I., Motakabber, S. M., & Mostafa, M. G. (2015). Simulation and evaluation of a phase synchronous inverter for micro-grid system. ARPN J. Eng. Sci., 11(1) 1-2.

      [2] Rahman, T., Motakabber, S. M. A., & Ibrahimy, M. I. (2016, July). Low noise inverter for poly phase microgrid system. In Computer and Communication Engineering (ICCCE), 2016 International Conference on (pp. 172-176). IEEE.

      [3] Rahman, T., Motakabber, S. M. A., & Ibrahimy, M. I. (2016, July). Design of a switching mode three phase inverter. In Computer and Communication Engineering (ICCCE), 2016 International Conference on (pp. 155-160). IEEE.

      [4] Zhou, B., & Liu, Q. (2017). Input delay compensation for neutral type time-delay systems. Automatica, 78, 309-319.

      [5] Lee, S. S., & Heng, Y. E. (2017). Improved Single-Phase Split-Source Inverter With Hybrid Quasi-Sinusoidal and Constant PWM. IEEE Transactions on Industrial Electronics, 64(3), 2024-2031.

      [6] Zare, M. H., Mohamadian, M., & Beiranvand, R. (2017). A Single-Phase Grid-Connected Photovoltaic Inverter Based on a Three-Switch Three-Port Flyback With Series Power Decoupling Circuit. IEEE Transactions on Industrial Electronics, 64(3), 2062-2071.

      [7] Emmanuel, M., & Rayudu, R. (2017). The impact of single-phase grid-connected distributed photovoltaic systems on the distribution network using PQ and PV models. International Journal of Electrical Power & Energy Systems, 91, 20-33.

      [8] Zhang, Z., Yang, Y., Ma, R., & Blaabjerg, F. (2017). Zero-Voltage Ride-Through Capability of Single-Phase Grid-Connected Photovoltaic Systems. Applied Sciences, 7(4), 315.

      [9] Yahyaoui, I., & Segatto, M. E. (2017). A practical technique for on-line monitoring of a photovoltaic plant connected to a single-phase grid. Energy Conversion and Management, 132, 198-206.

      [10] Saxena, N., Singh, B., & Vyas, A. L. (2017). Single-phase solar PV system with battery and exchange of power in grid-connected and standalone modes. IET Renewable Power Generation, 11(2), 325-333.




Article ID: 27896
DOI: 10.14419/ijet.v7i4.38.27896

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.