Application of gene expression programming and neural networks to predict adverse events of radical hysterectomy in cervical cancer patients.
The aim of this article was to compare gene expression programming (GEP) method with three types of neural networks in the prediction of adverse events of radical hysterectomy in cervical cancer patients. One-hundred and seven patients treated by radical hysterectomy were analyzed. Each record repre...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 51; no. 12; pp. 1357 - 1366 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Dec2013
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| Acceso en línea: | Ver este registro en EBSCOhost |