MR-determined metabolic phenotype of breast cancer in prediction of lymphatic spread, grade, and hormone status

References

Page 1

	Year	Citations
Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine M H Zweig, Gregory Campbell Clinical Chemistry DiagnosisDiagnosticsQuantitative Roc AnalysisDisease ClassificationBiostatistics	1993	6.5K
pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long‐term follow‐up C.W. Elston, Ian O. Ellis Histopathology	1991	6.1K
Probabilistic neural networks Donald F. Specht Neural Networks Artificial IntelligenceEngineeringMachine LearningProbabilistic SystemProbabilistic Neural Networks	1990	3.7K
Computer Aided Design of Experiments R. W. Kennard, L. A. Stone Technometrics	1969	3.3K
Histological Grading and Prognosis in Breast Cancer H. J. G. Bloom, W Richardson British Journal of Cancer Breast OncologyMedicineHistopathologyPathologyCancer Prognosis	1957	2.9K
The Cascade-Correlation learning architecture Scott E. Fahlman, Christian Lebière Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)	1993	2.4K
Elimination of Uninformative Variables for Multivariate Calibration Vítézslav Centner, Désiré-Luc Massart, Onno E. de Noord, Analytical Chemistry Sensor CalibrationEngineeringData ScienceCalibrationExperimental Variables	1996	974
Computer Aided Design of Experiments R. W. Kennard, L. A. Stone Technometrics	1969	408
High‐resolution magic angle spinning MRS of breast cancer tissue Beathe Sitter, Ursula Sonnewald, Manfred Spraul, NMR in Biomedicine	2002	324
Understanding and using genetic algorithms Part 1. Concepts, properties and context C.B. Lucasius, G. Kateman Chemometrics and Intelligent Laboratory Systems Artificial IntelligenceMemetic AlgorithmEngineeringGenetic AlgorithmsData Mining	1993	296

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