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- 2Survival Prediction
- 1D-Calibration
- 1Gene-expression
- 1High-dimensional data
- 1Latent Dirichlet Allocation (LDA)
- 1Machine Learning
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Spring 2011
Standard survival analysis focuses on population-based studies. The objective of our work, survival prediction, is different: to find the most accurate model for predicting the survival times for each individual patient. We view this as a regression problem, where we try to map the features for...
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Spring 2017
Survival prediction is becoming a crucial part of treatment planning for most terminally ill patients. Many believe that genomic data will enable us to better estimate survival of these patients, which will lead to better, more personalized treatment options and patient care. As standard...
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