International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Acute Leukemia Classification Using Sequential Neural Network Classifier in Clinical Decision Support System

  • Ivan Vincent (Dept. of IT Convergence and Applications Eng., Pukyong National University) ;
  • Thanh.T.T.P (Dept. of IT Convergence and Applications Eng., Pukyong National University) ;
  • Suk-Hwan Lee (Dept. of Information Security, Tongmyong University) ;
  • Ki-Ryong Kwon (Dept. of IT Convergence and Applications Eng., Pukyong National University)
  • Received : 2024.09.05
  • Published : 2024.09.30
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Abstract

Leukemia induced death has been listed in the top ten most dangerous mortality basis for human being. Some of the reason is due to slow decision-making process which caused suitable medical treatment cannot be applied on time. Therefore, good clinical decision support for acute leukemia type classification has become a necessity. In this paper, the author proposed a novel approach to perform acute leukemia type classification using sequential neural network classifier. Our experimental result only covers the first classification process which shows an excellent performance in differentiating normal and abnormal cells. Further development is needed to prove the effectiveness of second neural network classifier.

Keywords

Acknowledgement

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2016R1D1A3B03931003, No. 2017R1A2B2012456) and MSIP (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2017-2016-0-00318) supervised by the IITP(Institute for Information & communications Technology Promotion)".

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