Anemia Prediction Using Machine Learning Algorithms
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58604-0_20
Reference18 articles.
1. Suner, S., Rayner, J., Ozturan, I.U., Hogan, G., Meehan, C.P., et al.: Prediction of anemia and estimation of hemoglobin concentration using a smartphone camera. PLOS ONE 16(7), e0253495 (2021). https://doi.org/10.1371/journal.pone.0253495
2. Mohammed Mohammed, S.J., Ahmed, A.A., Ahmad, A.A., Sami Mohammed, M.: Anemia prediction based on rule classification. In: 2020 13th International Conference on Developments in eSystems Engineering (DeSE), Liverpool, pp. 427–431 (2020). https://doi.org/10.1109/DeSE51703.2020.9450234
3. Mohammed, M.S., Ahmad, A.A., Sari, M.:Analysis of anemia using data mining techniques with risk factors specification. In: 2020 International Conference for Emerging Technology (INCET), Belgaum, pp. 1–5 (2020). https://doi.org/10.1109/INCET49848.2020.9154063
4. Mohammed Mohammed, S.J., Ahmed, A.A., Ahmad, A.A., Sami Mohammed, M.: Anemia prediction based on rule classification. In: 2020 13th International Conference on Developments in eSystems Engineering (DeSE), Liverpool, pp. 427–431 (2020). https://doi.org/10.1109/DeSE51703.2020.9450234
5. Abdul Hafiz, E., Kaur, N.: Improved hotel recommendation system using machine learning technique. In: 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), Sonbhadra, pp. 769–773 (2022). https://doi.org/10.1109/AIC55036.2022.9848942
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