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ARTMED
2005
97views more  ARTMED 2005»
15 years 8 days ago
Predicting breast cancer survivability: a comparison of three data mining methods
Dursun Delen, Glenn Walker, Amit Kadam
128
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AUSDM
2008
Springer
258views Data Mining» more  AUSDM 2008»
15 years 2 months ago
wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability
Accurate and less invasive personalized predictive medicine can spare many breast cancer patients from receiving complex surgical biopsies, unnecessary adjuvant treatments and its...
Umer Khan, Hyunjung Shin, Jongpill Choi, Minkoo Ki...
101
Voted
BIOINFORMATICS
2005
134views more  BIOINFORMATICS 2005»
15 years 8 days ago
Outcome signature genes in breast cancer: is there a unique set?
Motivation: direct bearing whose expres Sorlie et al., 2 gene sets is a diseases (Lossos et al., 2004; Miklos and Maleszka, 2004), and the variables that could account questions i...
Liat Ein-Dor, Itai Kela, Gad Getz, David Givol, Ey...
BMCBI
2008
85views more  BMCBI 2008»
15 years 14 days ago
Merging microarray data from separate breast cancer studies provides a robust prognostic test
Background: There is an urgent need for new prognostic markers of breast cancer metastases to ensure that newly diagnosed patients receive appropriate therapy. Recent studies have...
Lei Xu, Aik Choon Tan, Raimond L. Winslow, Donald ...
BMCBI
2008
160views more  BMCBI 2008»
15 years 14 days ago
A method for analyzing censored survival phenotype with gene expression data
Background: Survival time is an important clinical trait for many disease studies. Previous works have shown certain relationship between patients' gene expression profiles a...
Tongtong Wu, Wei Sun, Shinsheng Yuan, Chun-Houh Ch...