Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence
Predicting breast cancer survivability : a comparison of three data mining methods
Breast Cancer Diagnosis Via Data Mining: Performance Analysis of Seven Different Algorithms
Personalized Prognostic Models for Oncology: A Machine Learning Approach
Diagnosis of Breast Cancer using Decision Tree Models and SVM
Support vector machines combined with feature selection for breast cancer diagnosis
Machine Learning and Deep Learning Techniques to Predict Overall Survival of Brain Tumor Patients using MRI Images
Breast Cancer Diagnosis and prognosis via linear programming
CANCER PREDICTION SYSTEM USING DATA MINING TECHNIQUES
Cancer survivability with logistic regression
Efficient Classifier for Classification of Prognostic Breast Cancer Data through Data Mining Techniques
Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks
Deep Recurrent Survival Analysis
Neural Pattern Recognition Model for Breast Cancer Diagnosis
Diagnosis of Breast Cancer using Decision Tree Data Mining Technique
Deep Learning for Identifying Metastatic Breast Cancer
Breast cancer diagnosis using least square support vector machine
Multiparametric Decision Support System for the Prediction of Oral Cancer Reoccurrence
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
A semi-supervised method for predicting cancer survival using incomplete clinical data
Naive Bayes Classifiers: A Probabilistic Detection Model for Breast Cancer
Online Clustering of Bandits
The Xbox recommender system
Learning to Log: Helping Developers Make Informed Logging Decisions
Showing face in video instruction: effects on information retention, visual attention, and affect
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection