Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: A Study of Cardiovascular Disease Prediction Models Using Discriminant Analysis
prediction of coronary heart disease using risk factor categories .
Extraction of Significant Patterns from Heart Disease Warehouses for Heart Attack Prediction
Genetic neural network based data mining in prediction of heart disease using risk factors
Big Data Analytics in Heart Attack Prediction
Predicting cardiovascular disease from real-time electrocardiographic monitoring: An adaptive machine learning approach on a cell phone
Using data mining techniques for multi-diseases prediction modeling of hypertension and hyperlipidemia by common risk factors
predicting the analysis of heart disease symptoms using medicinal data mining methods .
a survey on neural network models for heart disease prediction .
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction
Machine learning based decision support systems (DSS) for heart disease diagnosis: a review
heart disease prediction using naive bayes algorithm and laplace smoothing technique .
HDPS: Heart disease prediction system
Prediction of heart disease using ensemble learning and Particle Swarm Optimization
Using decision tree for diagnosing heart disease patients
Diagnosis of Heart Disease Using Data Mining Algorithm
Intelligent Heart Disease Prediction System Using Probabilistic Neural Network
Sudden cardiac death prediction using ECG signal derivative (Heart Rate Variability): A review
Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
intelligent heart disease prediction system using canfis and genetic algorithm .
Data Mining in Clinical Decision Support Systems for Diagnosis, Prediction and Treatment of Heart Disease
Social People-Tagging vs. Social Bookmark-Tagging
Switch to Your Own to Work with the Known: An Empirical Study on Consumerization of IT
Accelerating SQL database operations on a GPU with CUDA
Shape reconstruction in projective grid space from large number of images
Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.