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1. An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates

2. Ensemble Learning of Colorectal Cancer Survival Rates

3. Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification

4. Supervised Learning and Anti-learning of Colorectal Cancer Classes and Survival Rates from Cellular Biology Parameters

6. The surgical safety checklist and patient outcomes after surgery: a prospective observational cohort study, systematic review and meta-analysis

7. Critical care admission following elective surgery was not associated with survival benefit: prospective analysis of data from 27 countries

12. Straight‐to‐test colonoscopy for 2‐week‐wait referrals improves time to diagnosis of colorectal cancer and is feasible in a high‐volume unit

25. Intratumoral T cell infiltration, MHC class I and STAT 1 as biomarkers of good prognosis in colorectal cancer

26. Guidelines for colorectal cancer screening and surveillance in moderate and high risk groups (update from 2002)

29. Contributors

43. CONTRIBUTORS

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