Add to ORKGCopyright © 2014 E. Chatzimichail et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Cancer is a leading cause of death worldwide and the prognostic evaluation of cancer patients is of great importance inmedical care. The use of artificial neural networks in prediction problems is well established in human medical literature. The aim of the current study was to assess the prognostic value of a series of clinical and molecular variables with the addition o
[[abstract]]This study created a survival prediction model for liver cancer using data mining algori...
[[abstract]]This study created a survival prediction model for liver cancer using data mining algori...
A cut-off of 5 circulating tumor cells (CTCs) per 7.5 ml of blood in metastatic breast cancer (MBC) ...
Cancer is a leading cause of death worldwide and the prognostic evaluation of cancer patients is of ...
The analysis of cancer survival is used to determine the efficiency of treatment programmes and prot...
Artificial intelligence was recognised many years ago as a potential and powerful tool to predict di...
Abstract ANNs are nonlinear regression computational devices that have been used for over 45 years i...
Abstract: Machine learning is a branch of artifi cial intelligence that employs a variety of statist...
Contains fulltext : 112749.pdf (preprint version ) (Open Access)6 p
There are two large groups of sources of uncertainty at various stages of construction of neural ne...
Medical informatics is the application of computer technology, communications and information techno...
Purpose: An Internet-web-based artificial neural network has been developed for practicing clinical ...
Purpose: An Internet-web-based artificial neural network has been developed for practicing clinical ...
A cut-off of 5 circulating tumor cells (CTCs) per 7.5 ml of blood in metastatic breast cancer (MBC) ...
Predicting the probable survival for a patient can be very challenging for many diseases. In many fo...
[[abstract]]This study created a survival prediction model for liver cancer using data mining algori...
[[abstract]]This study created a survival prediction model for liver cancer using data mining algori...
A cut-off of 5 circulating tumor cells (CTCs) per 7.5 ml of blood in metastatic breast cancer (MBC) ...
Cancer is a leading cause of death worldwide and the prognostic evaluation of cancer patients is of ...
The analysis of cancer survival is used to determine the efficiency of treatment programmes and prot...
Artificial intelligence was recognised many years ago as a potential and powerful tool to predict di...
Abstract ANNs are nonlinear regression computational devices that have been used for over 45 years i...
Abstract: Machine learning is a branch of artifi cial intelligence that employs a variety of statist...
Contains fulltext : 112749.pdf (preprint version ) (Open Access)6 p
There are two large groups of sources of uncertainty at various stages of construction of neural ne...
Medical informatics is the application of computer technology, communications and information techno...
Purpose: An Internet-web-based artificial neural network has been developed for practicing clinical ...
Purpose: An Internet-web-based artificial neural network has been developed for practicing clinical ...
A cut-off of 5 circulating tumor cells (CTCs) per 7.5 ml of blood in metastatic breast cancer (MBC) ...
Predicting the probable survival for a patient can be very challenging for many diseases. In many fo...
[[abstract]]This study created a survival prediction model for liver cancer using data mining algori...
[[abstract]]This study created a survival prediction model for liver cancer using data mining algori...
A cut-off of 5 circulating tumor cells (CTCs) per 7.5 ml of blood in metastatic breast cancer (MBC) ...