<p>The survival curves for each breast cancer subtype are generated using Cox proportional hazards model based on the grade and size of the tumour, patient’s age, number of lymph nodes positive and ER status. Each curve represents the survival probability at a certain time after the diagnosis. Ticks on the curve correspond to the observations of patients who are still alive, while drops indicate the death. The probability curves based on the last 10 observations are plotted in dash. The top row is based on the original subtype labels obtained with the PAM50 list and a single classifier (PAM). Middle and bottom rows are based on the labels obtained by Ensemble Learning using the PAM50 and CM1 lists, respectively.</p
<p>MFS is grouped according to Masaoka staging (A), WHO classification (B), extent of resection (C),...
In the present thesis I introduce and evaluate a new machine learning method for estimating survival...
<p>(A) Discovery and (B) Validation. The bars represent the number of samples with ER positive and n...
<p>Survival probabilities of ordinary-luminal Q1 (yellow), Q2 (orange), Q3 (green) and Q4 (blue), an...
<p>Survival curves for five subtypes of the breast cancer patients in the breast cancer dataset.</p
<p>The figure shows the comparison between the real survival curve provided by a breast cancer datas...
a) A Kaplan-Meier curve showing the 15-year overall survival for patients in the TCGA cohort, the pa...
BACKGROUND: Multi-gene lists and single sample predictor models have been currently used to reduce t...
<p>Survival curves based on risk groups for patients with stage pT4aN0M0 cancer in the development s...
<div><p>Background</p><p>The prediction of breast cancer intrinsic subtypes has been introduced as a...
The prediction of breast cancer intrinsic subtypes has been introduced as a valuable strategy to det...
<p>Survival curves based on risk groups for patients with stage pT2-4N0M0 cancer in the development ...
<p> <b>A.</b> Predicted outcomes in NKI test set (148 patients). Kaplan-Meier p...
<p>(A) Discovery and (B) Validation. The bars represent the number of samples with <i>HER2</i> ampli...
ObjectiveTo examine the factors that affect the prognosis and survival of breast cancer patients who...
<p>MFS is grouped according to Masaoka staging (A), WHO classification (B), extent of resection (C),...
In the present thesis I introduce and evaluate a new machine learning method for estimating survival...
<p>(A) Discovery and (B) Validation. The bars represent the number of samples with ER positive and n...
<p>Survival probabilities of ordinary-luminal Q1 (yellow), Q2 (orange), Q3 (green) and Q4 (blue), an...
<p>Survival curves for five subtypes of the breast cancer patients in the breast cancer dataset.</p
<p>The figure shows the comparison between the real survival curve provided by a breast cancer datas...
a) A Kaplan-Meier curve showing the 15-year overall survival for patients in the TCGA cohort, the pa...
BACKGROUND: Multi-gene lists and single sample predictor models have been currently used to reduce t...
<p>Survival curves based on risk groups for patients with stage pT4aN0M0 cancer in the development s...
<div><p>Background</p><p>The prediction of breast cancer intrinsic subtypes has been introduced as a...
The prediction of breast cancer intrinsic subtypes has been introduced as a valuable strategy to det...
<p>Survival curves based on risk groups for patients with stage pT2-4N0M0 cancer in the development ...
<p> <b>A.</b> Predicted outcomes in NKI test set (148 patients). Kaplan-Meier p...
<p>(A) Discovery and (B) Validation. The bars represent the number of samples with <i>HER2</i> ampli...
ObjectiveTo examine the factors that affect the prognosis and survival of breast cancer patients who...
<p>MFS is grouped according to Masaoka staging (A), WHO classification (B), extent of resection (C),...
In the present thesis I introduce and evaluate a new machine learning method for estimating survival...
<p>(A) Discovery and (B) Validation. The bars represent the number of samples with ER positive and n...