Supervised Classification by Filter Methods and Recursive Feature Elimination Predicts Risk of Radiotherapy-Related Fatigue in Patients with Prostate Cancer

@inproceedings{Saligan2014SupervisedCB,
  title={Supervised Classification by Filter Methods and Recursive Feature Elimination Predicts Risk of Radiotherapy-Related Fatigue in Patients with Prostate Cancer},
  author={Leorey N. Saligan and Juan Luis Fern{\'a}ndez-Mart{\'i}nez and Enrique J. deAndr{\'e}s-Galiana and Stephen T. Sonis},
  booktitle={Cancer informatics},
  year={2014}
}
BACKGROUND Fatigue is a common side effect of cancer (CA) treatment. We used a novel analytical method to identify and validate a specific gene cluster that is predictive of fatigue risk in prostate cancer patients (PCP) treated with radiotherapy (RT). METHODS A total of 44 PCP were categorized into high-fatigue (HF) and low-fatigue (LF) cohorts based on fatigue score change from baseline to RT completion. Fold-change differential and Fisher's linear discriminant analyses (LDA) from 27… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 32 REFERENCES

Predicting risk of chemotherapyinduced side effects in patients with colon cancer with single-nucleotide polymorphisms (SMP) Bayesian networks

ST Sonis, LS Schwartberg, MS Walker
  • J Clin Oncol. 2013;Suppl
  • 2013

The economic burden of toxicities associated with cancer treatment: review of the literature and analysis of nausea and vomiting, diarrhea, oral mucositis and fatigue

AA Carlotto, VL Hoqsett, EM Maiorini, JG Razulis, ST. Sonis
  • Pharmacoeconomics
  • 2013
VIEW 1 EXCERPT

cancer undergoing radiotherapy

SS Hwang, VT Chang, M Rue, B Kasimis
  • 2013