| Autor: |
Mostafa Ezziyyani, Mohammed Ezziyyani, Sarah Khrouch |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Advances in Intelligent Systems and Computing ISBN: 9783030118839 |
| DOI: |
10.1007/978-3-030-11884-6_10 |
| Popis: |
Sometimes the experience of Doctors is not enough sufficient to guide patients perfectly and predict exactly the best treatments to follow and give results with high accuracy. For this reason, it is very important to get a predictive model, resulting in effective and accurate decision making. Our main goal is to make a significant contribution toward improving the quality of healthcare. This work strives to create a dynamic graph of treatments which is able to predict the suitable therapeutic protocol. The objective of this graph is to help doctors classify breast cancer patients depending on the type of breast cancer and the appropriate therapeutic protocol and the optimal dose. In this article we focus on the use of the patient’s personal data and medical history for each patient, input features and the medical tests that patient already have done. The predictive machine learning model based on Neural Network, as well as on different input features and using other advanced Data mining algorithms. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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