7 search results - page 1 / 2 » Machine Learning for Survival Analysis: A Case Study on Recu... |
AIMDM
1999
Springer
13 years 9 months ago
1999
Springer
KDD
2004
ACM
14 years 5 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
BMCBI
2007
13 years 5 months ago
2007
Background: Although prognostic biomarkers specific for particular cancers have been discovered, microarray analysis of gene expression profiles, supported by integrative analysis...
GCB
2010
Springer
13 years 2 months ago
2010
Springer
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
BMCBI
2010
13 years 5 months ago
2010
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...