참고문헌
- C. J. Tseng, C. J. Lu, C. C. Chang, and G. D. Chen, "Application of Machine Learning to Predict the Recurrence-Proneness for Cervical Cancer," Neural Computing and Applications, vol. 24, no. 6, pp. 1311-1316, 2014. https://doi.org/10.1007/s00521-013-1359-1
- M. Sudha, "Evolutionary and Neural Computing Based Decision Support System for Disease Diagnosis from Clinical Data Sets in Medical Practice," Journal of Medical Systems, vol. 41, no. 178, 2017.
- M. Recio, G. Garcia-Hernandez, L. M. Luque, R. Salas-Morera, "The role of interdisciplinary research team in the impact of health apps in health and computer science publications: A systematic review," BioMedical Engineering Online, vol. 15, no. 77, 2016.
- C. Fernandez-Lozano, M. Gestal, C. R. Munteanu, J. Dorado, A. Pazos, "A methodology for the design of experiments in computational intelligence with multiple regression models," PeerJ, vol. 4, e2721, 2016. https://doi.org/10.7717/peerj.2721
- S. Fang, R. Pouyanfar, S. Yang, Y. Chen, S. C. Iyengar, "Computational health informatics in the big data age: A survey" ACM Computing Surveys, vol. 49, no. 12, 2016.
- C. J. Tseng, C. C. Chang, C. J. Lu, "Integration of ensemble learning and data mining techniques to predict risk factors for recurrent ovarian cancer," Artificial Intelligence in Medicine, vol. 78, pp. 47-54, 2017. https://doi.org/10.1016/j.artmed.2017.06.003
- E. G. Junior, D. B. O. Cardoso, M. C. Reis, A. F. O. Nascimento, D. I. Bortolin, M. R. Martins, L. B. Sousa, "Cotton genotypes selection through artificial neural networks," Genetics & Molecular Research, vol. 16, 2017.
- C. K. Chang, C, C. Chang, "Bayesian Imperfect Information Analysis for Clinical Recurrent Data," Therapeutics and Clinical Risk Management, vol. 11, pp. 17-26, 2015.