Author:
Zubair Hasan K. M.,Zahid Hasan Md.
Reference16 articles.
1. Ho, C.-Y., Pai, T.-W., & Peng, Y.-C. Ultrasonography image analysis for detection and classification of chronic kidney disease. In Sixth International Conference on Complex, Intelligent, and Software Intensive Systems (pp. 624–629), Palermo.
2. Estudillo-Valderrama, M. A., et al. (2014, November). A distributed approach to alarm management in chronic kidney disease. IEEE Journal of Biomedical and Health Informatics, 18(6), 1796–1803.
3. Charleonnan, A., Fufaung, T., Niyomwong, T., Chokchueypattanakit, W., Suwanna-wach, S., & Ninchawee, N. (2016). Predictive analytics for chronic kidney disease using machine learning techniques. In Management and Innovation Technology International Conference (MITicon) (pp. 80–83), Bang-San.
4. Hsieh, J.-W., Lee, C.-H., Chen, Y.-C., Lee, W.-S., & Chiang, H.-F. (2014). Stage classification in chronic kidney disease by ultrasound image. In International Conference on Image and Vision Computing, New Zealand, ACM, 2014 (pp. 271–276).
5. Singh, A., Nadkarni, G., Guttag, J., & Bottinger, E. (2014). Leveraging hierarchy in medical codes for predictive modeling. In Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB ‘14) (pp. 96–103). ACM, New York, NY, USA, 2014.
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