Cargando…
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...
Autores principales: | Neto, Cristiana, Brito, Maria, Lopes, Vítor, Peixoto, Hugo, Abelha, António, Machado, José |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514508/ http://dx.doi.org/10.3390/e21121163 |
Ejemplares similares
-
A Proof of Concept of a Mobile Health Application to Support Professionals in a Portuguese Nursing Home
por: Esteves, Márcia, et al.
Publicado: (2019) -
A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications
por: Pruinelli, Lisiane, et al.
Publicado: (2016) -
Application of data mining methods to improve screening for the risk of early gastric cancer
por: Liu, Mi-Mi, et al.
Publicado: (2018) -
Prediction method of coal mine gas occurrence law based on multi-source data fusion
por: Jiao, Huice, et al.
Publicado: (2023) -
Practical applications of data mining
por: Suh, Sang C
Publicado: (2012)