Decision System for the Selection of the Best Therapeutic Protocol for Breast Cancer Based on Genetic Algorithm
| Autor: | Sarah Khrouch, Mohammed Ezziyyani, Mostafa Ezziyyani |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Protocol (science)
Artificial neural network business.industry Computer science medicine.disease Machine learning computer.software_genre ComputingMethodologies_PATTERNRECOGNITION Breast cancer Decision system Genetic algorithm medicine Artificial intelligence business computer Selection (genetic algorithm) |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030366636 |
| DOI: | 10.1007/978-3-030-36664-3_13 |
| Popis: | Currently, we find that the genetic algorithm (GA) and artificial neural networks (ANN) are massively applied in various fields, especially for complex medical problems. in this study aims to develop an intelligent system in order to monitor the evolution of breast cancer and predict appropriate therapeutic protocol. The objective of this work is to help physicians and guide them to take the decisive decisions and chose the appropriate treatment in real-time. Our predictive model based on the genetic algorithm and neural network for decision-making tasks in a reasonable time in order to enhance breast cancer care in Morocco. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|