Neural network parameters optimization with genetic algorithm to improve liver disease estimation

Neural network parameters optimization with genetic algorithm to improve liver disease estimation

• By Harafani, Hani; Suryani; Ispandi; Lutfiyana, Nur;
• Jurnal Internasional Bereputasi
• 363
• 1-7

Liver disease is an important public health problem. Over the past view decades machine learning has develop rapidly, and it has been introduced for application in medical-related fields. In this study we use neural network method to solve regression task of liver disorder dataset. Genetic algorithm applied for optimize NN parameters to improve the estimation performance value. NN-GA performance results show the most superior value compared to another methods.

• Katakunci Neural network, optimization, algorithm, liver
• URL https://iopscience.iop.org/article/10.1088/1742-6596/1641/1/012034
• Penerbit ,

REFERENSI

[1] Z. Yao, J. Li, Z. Guan, Y. Ye, and Y. Chen, \Liver disease screening based on densely connected deep neural
networks," Neural Networks, vol. 123, pp. 299{304, 2020.
[2] B. Venkata Ramana, M. S. P. Babu, and N. . Venkateswarlu, \A Critical Study of Selected Classification
Algorithms for Liver Disease Diagnosis," Int. J. Database Manag. Syst., vol. 3, no. 2, pp. 101{114, 2011.
[3] D. A. Kelly, \Liver and biliary disease in childhood," Med. (United Kingdom), vol. 47, no. 12, pp. 782{786,
2019.
[4] N. Beeching and A. Dassanayake, \Tropical liver disease," Med. (United Kingdom), vol. 47, no. 11, pp.
758{763, 2019.