Application of data mining for the prediction of mortality and occurrence of complications for gastric cancer patients
The development of malign cells that can grow in any part of the stomach, known as gastric cancer, is one of the most common causes of death worldwide. In order to increase the survival rate in patients with this condition, it is essential to improve the decision-making process leading to a better a...
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| Outros Autores: | , , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2019
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/63310 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/63310 |