Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Predicting breast cancer survivability using data mining techniques
Predicting breast cancer survivability : a comparison of three data mining methods
Predicting breast cancer recurrence using effective classification and feature selection technique
Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence
Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks
Comparison of the C4.5 and a Naive Bayes Classifier for the Prediction of Lung Cancer Survivability
Classifying breast cancer by using decision tree algorithms
Cancer survivability with logistic regression
A semi-supervised method for predicting cancer survival using incomplete clinical data
Colon cancer survival prediction using ensemble data mining on SEER data
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends
Using Machine Learning algorithms for breast cancer risk prediction and diagnosis
Diagnosis of Lung Cancer Prediction System Using Data Mining Classification Techniques
A cross-platform evaluation of various decision tree algorithms for prognostic analysis of breast cancer data
Analysis of SEER Dataset for Breast Cancer Diagnosis using C4.5 Classification Algorithm
COMPARATIVE STUDY ON DIFFERENT CLASSIFICATION TECHNIQUES FOR BREAST CANCER DATASET
Breast Cancer Diagnosis Using Machine Learning Algorithms - A Survey
Big Data Analytics to Predict Breast Cancer Recurrence on SEER Dataset using MapReduce Approach
Using Kaplan-Meier analysis together with decision tree methods (C&RT, CHAID, QUEST, C4.5 and ID3) in determining recurrence-free survival of breast cancer patients
Breast cancer relapse prognosis by classic and modern structures of machine learning algorithms
Workload analysis and efficient OpenCL-based implementation of SIFT algorithm on a smartphone
Real-Time Automatic Traffic Accident Recognition Using HFG
Neural Networks A Comprehensive Foundation
Relationships of loneliness and mobile phone dependence with Internet addiction in Japanese medical students
Machine Learning and Decision Support in Critical Care