Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Analysis of data mining techniques for heart disease prediction
Prediction of Heart Disease using Classification Algorithms
Heart Disease Prediction System using Associative Classification and Genetic Algorithm
Classification of Heart Disease Dataset using Multilayer Feed forward backpropogation Algorithm
heart disease prediction system based on hidden naive bayes classifier .
Using data mining techniques for multi-diseases prediction modeling of hypertension and hyperlipidemia by common risk factors
heart disease prediction using naive bayes algorithm and laplace smoothing technique .
A Study of Cardiovascular Disease Prediction Models Using Discriminant Analysis
Prediction of heart disease using ensemble learning and Particle Swarm Optimization
Alternating decision trees for early diagnosis of heart disease
A highly accurate firefly based algorithm for heart disease prediction
Analysis of Heart Diseases Dataset using Neural Network Approach
Data-Mining-Based Coronary Heart Disease Risk Prediction Model Using Fuzzy Logic and Decision Tree
Machine learning based decision support systems (DSS) for heart disease diagnosis: a review
PREDICTION SYSTEM FOR HEART DISEASE USING NAIVE BAYES
Using decision tree for diagnosing heart disease patients
Knowledge discovery, analysis and prediction in healthcare using data mining and analytics
Predictive data mining in clinical medicine: a focus on selected methods and applications
A survey on technique for prediction of disease in medical data
Future Trends of Data Mining in Predicting the Various Diseases in Medical Healthcare System
Intelligent Heart Disease Prediction System Using Probabilistic Neural Network
chapter 3 principal components analysis with nonlinear optimal scaling transformations for ordinal and nominal data .
on semantic patterns of passwords and their security impact .
Unikernels: library operating systems for the cloud
Nearest prototype classifier designs: an experimental study
Very Simple Classification Rules Perform Well on Most Commonly Used Datasets