Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Data Mining Techniques For Diagnosis And Prognosis Of Breast Cancer
Diagnosis of Lung Cancer Prediction System Using Data Mining Classification Techniques
An expert system for detection of breast cancer based on association rules and neural network
An effective hybridized classifier for breast cancer diagnosis
Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence
Comparison of Various Classification Techniques Using Different Data Mining Tools for Diabetes Diagnosis
Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images
Diagnosis of Breast Tumor Using SVM-KNN Classifier
A Survey on the Preprocessing Techniques of Mammogram for the Detection of Breast Cancer
WCBA: Weighted classification based on association rules algorithm for breast cancer disease
A Data Mining Approach to the Diagnosis of Tuberculosis by Cascading Clustering and Classification
applying machine learning techniques to analysis of gene expression data : cancer diagnosis .
Applications of Machine Learning in Cancer Prediction and Prognosis
A Novel Approach for Classification on Breast Cancer Data Set
Breast Imaging in the Era of Big Data: Structured Reporting and Data Mining
Machine learning applications in cancer prognosis and prediction
Application of Data Mining Techniques to Healthcare Data
Missing data imputation using statistical and machine learning methods in a real breast cancer problem
Breast Cancer Diagnosis by using k-Nearest Neighbor with Different Distances and Classification Rules
Techniques of Data Mining In Healthcare: A Review
A Fuzzy-Genetic Approach to Breast Cancer Diagnosis
Does Twitter motivate involvement in politics? Tweeting, opinion leadership, and political engagement
bayesian networks in biomedicine and health - care .
Abdominal Tumor in a 14-Year-Old Adolescent: Imperforate Hymen, Resulting in Hematocolpos—A Case Report and Review of the Literature
Net-Centric Computing: The Future of Computers and Networking
IDENTIFICATION OF DISCRETE EVENT SYSTEMS - Implementation Issues and Model Completeness