Knowledge Mining from Health Data: Application of Feature Selection Approaches

Author:

Auwul Md. Rabiul,Hakim Md. Ajijul,Dhonno Fahmida Tasnim,Shilpa Nusrat Afrin,Abedin Mohammad Zoynul

Publisher

Springer International Publishing

Reference29 articles.

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2. Abedin, M. Z., Guotai, C., Moula, F. E., Zhang, T., & Hassan, M. K. (2019). An optimized support vector machine intelligent technique using optimized feature selection methods: Evidence from Chinese credit approval data. Journal of Risk Model Validation, 13(2), 1–46.

3. Alizadeh, A. A., Eisen, M. B., Davis, R. E., Ma, C., Lossos, I. S., Rosenwald, A., et al. (2000). Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature, 403, 503–511.

4. Beer, D. G., Kardia, S. L., Huang, C. C., Giordano, T. J., Levin, A. M., Misek, D. E., Lizyness, M. L., Kuick, R., Hayasaka, S., Taylor, J. M., Iannettoni, M. D., Orringer, M. B., & Hanash, S. (2002). Gene-expression profiles predict survival of patients with lung adenocarcinoma. Nature Medicine, 8, 816–824.

5. Bittner, M., Meltzer, P., Chen, Y., Jiang, Y., Seftor, E., Hendrix, M., et al. (2000). Molecular classification of cutaneous malignant melanoma by gene expression profiling. Nature, 406(6795), 536–540.

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