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References from Prediction of breast cancer Invasive Disease Events using transfer learning on clinical data as image-form. Local targets link to admitted publications; unresolved targets remain external evidence.
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An Invasive Disease Event-Free Survival Analysis to Investigate Ki67 Role with Respect to Breast Cancer Patients’ Age: A Retrospective Cohort Study
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Long-term outcome prediction by clinicopathological risk classification algorithms in node-negative breast cancer ‐ Comparison between Adjuvant!, St Gallen, and a novel risk algorithm used in the prospective randomized Node-Negative-Breast Cancer-3 (NNBC-3) trial
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Comparison of the prognostic and predictive utilities of the 21-gene recurrence score assay and adjuvant! for women with node-negative, ER-positive breast cancer: Results from NSABP B-14 and NSABP B-20
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Molecular and protein markers for clinical decision making in breast cancer: Today and tomorrow
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Topographic classification of EEG patterns in Huntington’s disease
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International evaluation of an AI system for breast cancer screening
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A Clinical Decision Support System for Predicting Invasive Breast Cancer Recurrence: Preliminary Results
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A roadmap towards breast cancer therapies supported by explainable artificial intelligence
2021 · External reference
Hough transform for clustered microcalcifications detection in full-field digital mammograms
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Modeling and comparing data mining algorithms for prediction of recurrence of breast cancer
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2013 · External reference
Breast Cancer Recurrence Prediction using Machine Learning
2019 · External reference
Development of novel breast cancer recurrence prediction model using support vector machine
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Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network
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Breast cancer recurrence prediction with ensemble methods and cost-sensitive learning
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A Hybrid Computer-aided-diagnosis System for Prediction of Breast Cancer Recurrence (HPBCR) Using Optimized Ensemble Learning
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Predicting Breast Cancer Recurrence Using Machine Learning Techniques
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Clinical decision support systems in breast cancer: A systematic review
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Application of Artificial Intelligence Techniques to Predict Risk of Recurrence of Breast Cancer: A Systematic Review
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A machine learning ensemble approach for 5- And 10-year breast cancer invasive disease event classification
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The incidence and risk factors of related lymphedema for breast cancer survivors post-operation: a 2-year follow-up prospective cohort study
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Roles of radiotherapy and chemotherapy in the development of contralateral breast cancer
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Analyzing breast cancer invasive disease event classification through explainable artificial intelligence
2023 · External reference
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Early prediction of neoadjuvant chemotherapy response by exploiting a transfer learning approach on breast DCE-MRIs
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Nonlinear Component Analysis as a Kernel Eigenvalue Problem
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The random forest algorithm for statistical learning
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Predicting Invasive Disease-Free Survival for Early Stage Breast Cancer Patients Using Follow-Up Clinical Data
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