Prediction of Kidney Disease Progression Using K-Means Algorithm Approach on Histopathology Data
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48465-0_66
Reference17 articles.
1. Lee, H.C., et al.: Derivation and validation of machine learning approaches to predict acute kidney injury after cardiac surgery. J. Clin. Med. 7(10) (2018). https://doi.org/10.3390/jcm7100322
2. Kumar, S., Kumar-Solanki, V., Choudhary, S.K., Selamat, A., Gonzalez-Crespo, R.: Comparative study on ant colony optimization (ACO) and K-means clustering approaches for jobs scheduling and energy optimization model in Internet of Things (IoT). Int. J. Interact. Multimed. Artif. Intell. 6(1), 107 (2020). https://doi.org/10.9781/ijimai.2020.01.003
3. Lee, J., et al.: Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease. Sci. Rep. 12(1), 1–13 (2022). https://doi.org/10.1038/s41598-022-08974-8
4. Windarto, A.P., Herawan, T.: K-means algorithm with Rapidminer in clustering school participation rate in Indonesia BT - recent trends in mechatronics towards Industry 4.0, pp. 779–794 (2022)
5. Li, L., Wang, J., Li, X.: Efficiency analysis of machine learning intelligent investment based on K-means algorithm. IEEE Access 8, 147463–147470 (2020). https://doi.org/10.1109/ACCESS.2020.3011366
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