Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: a study on prediction of breast cancer recurrence using data mining techniques .
Predicting breast cancer survivability : a comparison of three data mining methods
Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks
Application of machine learning to predict the recurrence-proneness for cervical cancer
Diagnosis of Lung Cancer Prediction System Using Data Mining Classification Techniques
Classifying breast cancer by using decision tree algorithms
A Comparative Study of Multilayer Neural Network and C4.5 Decision Tree Models for Predicting the Risk of Breast Cancer
Predictive data mining in clinical medicine: a focus on selected methods and applications
Application of data mining techniques in a personalized diet recommendation system for cancer patients
Predicting overall survivability in comorbidity of cancers: A data mining approach
A cross-platform evaluation of various decision tree algorithms for prognostic analysis of breast cancer data
An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology
An expert system for detection of breast cancer based on association rules and neural network
COMPARATIVE STUDY ON DIFFERENT CLASSIFICATION TECHNIQUES FOR BREAST CANCER DATASET
mining big data : breast cancer prediction using dt - svm hybrid model .
Applications of Machine Learning in Cancer Prediction and Prognosis
Construction the Model on the Breast Cancer Survival Analysis Use Support Vector Machine, Logistic Regression and Decision Tree
Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends
Decision Tree Based Predictive Models for Breast Cancer Survivability on Imbalanced Data
Analysis of SEER Dataset for Breast Cancer Diagnosis using C4.5 Classification Algorithm
WCBA: Weighted classification based on association rules algorithm for breast cancer disease
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
forecasting and trading currency volatility : an application of recurrent neural regression and model combination by .
Horizontal and Vertical Factors Influencing the Adoption of Web Services
liver disease prediction using svm and naive bayes algorithms .
Fault Classification using Pseudomodal Energies and Neuro-fuzzy modelling