M. Karamouzis
Artificial Intelligence · 2014–2021
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 7 citations into it
Whom M. Karamouzis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from M. Karamouzis's perspective
Ordered by how strongly the researchers M. Karamouzis trusts endorse each paper. Same corpus, a different order for every researcher.
- A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. (New England Journal of Medicine)
- Wrappers for Feature Subset Selection
- Machine learning for medical diagnosis: history, state of the art and perspective
- Hallmarks of cancer: the next generation. (Cell)
- Supervised risk predictor of breast cancer based on intrinsic subtypes.
- Predicting breast cancer survivability: a comparison of three data mining methods
- Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting. (Journal of the National Cancer Institute)
- Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. (Proceedings of the National Academy of Sciences of the United States of America)
- Data Mining Practical Machine Learning Tools and Techniques
- NCBI GEO: mining tens of millions of expression profiles—database and tools update
Their papers
- Machine learning applications in cancer prognosis and prediction (2014) — 3,008 citations
- Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1 (2021) — 3,841 citations
- Nivolumab plus chemotherapy versus chemotherapy as first-line treatment for advanced gastric cancer/gastroesophageal junction cancer/oesophageal adenocarcinoma (CheckMate 649): a multicentre, randomised, open-label, phase 3 trial (2021) — 2,150 citations