Cargando…
Developing a clinical decision support system based on the fuzzy logic and decision tree to predict colorectal cancer
Background: Colorectal Cancer (CRC) is the most prevalent digestive system- related cancer and has become one of the deadliest diseases worldwide. Given the poor prognosis of CRC, it is of great importance to make a more accurate prediction of this disease. Early CRC detection using computational te...
Autores principales: | Nopour, Raoof, Shanbehzadeh, Mostafa, Kazemi-Arpanahi, Hadi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iran University of Medical Sciences
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271221/ https://www.ncbi.nlm.nih.gov/pubmed/34268232 http://dx.doi.org/10.47176/mjiri.35.44 |
Ejemplares similares
-
Using decision tree algorithms for estimating ICU admission of COVID-19 patients
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2022) -
Performance evaluation of selected decision tree algorithms for COVID-19 diagnosis using routine clinical data
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2021) -
Design of an artificial neural network to predict mortality among COVID-19 patients
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2022) -
Developing an artificial neural network for detecting COVID-19 disease
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2022) -
Predicting the Need for Intubation among COVID-19 Patients Using Machine Learning Algorithms: A Single-Center Study
por: Nopour, Raoof, et al.
Publicado: (2022)