heart attack prediction
Extraction of significant patterns from heart disease warehouses for heart attack prediction
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The diagnosis of diseases is a significant and tedious task in medicine. The detection of heart disease from various factors or symptoms is a multi-layered issue which is not free from false presumptions often accompanied by unpredictable effects. Thus the effort to utilize
Cluster based association rule mining for heart attack prediction
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ABSTRACT This Paper Focuses on Analyzing Medical Data using Association Rule mining for Heart Attack Prediction . Association rule mining is one of the fundamental research topics in data mining and knowledge discovery that finds interesting association or correlation
Development of neuro-fuzzy system for early prediction of heart attack
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This work is aimed at providing a neurofuzzy system for heart attack detection. Theneuro- fuzzy system was designed with eight input field and one output field. The input variables are heart rate, exercise, blood pressure, age, cholesterol, chest pain type, blood sugar and
Big data analytics in heart attack prediction
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Introduction: Acute myocardial infarction ( heart attack ) is one of the deadliest diseases patients face. The key to cardiovascular disease management is to evaluate large scores of datasets, compare and mine for information that can be used to predict, prevent, manage
Heart attack prediction system using Fuzzy C Means classifier
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Cardiovascular disease remains the biggest cause of deaths worldwide. The percentage of premature death from this disease ranges from 4% in high income countries and 42% in low income countries. This shows the importance of predicting heart disease at the early stage
Heart attack prediction system using cascaded neural network
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Cardiovascular disease remains the biggest cause of deaths worldwide. The percentage v of premature death from this disease ranges from 4% in high income countries and 42% in low income countries. This shows the importance of predicting heart disease at the early
Analysis of Heart Attack Prediction System Using Genetic Algorithm.
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Most nations face high and expanding rates of heart diseases or Cardiovascular Disease. Heart disease is a term that assigns to a large number of medical conditions related to heart . These medical conditions describe the abnormal health conditions that directly influence the
Smartphone based heart attack risk prediction system with statistical analysis and data mining approaches
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Nowadays, Ischemic Heart Disease (IHD)( Heart Attack ) is ubiquitous and one of the major reasons of death worldwide. Early screening of people at risk of having IHD may lead to minimize morbidity and mortality. A simple approach is proposed in this paper to predict risk
Heart attack prediction system using data mining techniques
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Intelligent System using data mining modeling technique, namely, Naive Bayes. It is implemented as web based application in this user answers the predefined questions. It retrieves hidden data from stored database and compares the user values with trained data
Impelling Heart Attack Prediction System using Data Mining and Artificial Neural Network
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Diagnosis of diseases is an important and intricate job in medicine. The identification of heart disease from diverse features is a no of layered problem that is not free from the wrong assumptions and is frequently accompanied by impulsive effects. Thus to exploit knowledge
Heart Attack Prediction Using Deep Learning
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Cardiovascular disease is one of the most heinous disease, especially the silent heart attack , which attacks a person so abruptly that theres no time to get it treated and such disease is very difficult to be diagnosed. The lack of specialist doctors and increase in wrong
HEART ATTACK PREDICTION USING DATAMINING
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Data mining techniques are used to analyze this rich collection of data from different perspectives and deriving useful information. This project intends to design and develop diagnosis and prediction system for heart diseases based on predictive mining. Heart
Heart Attack Prediction Using Data Mining Techniques
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Application of computer data processing in medical domain has been witnessing several significant revolutions in recent days. Particularly data mining has played an important role in knowing the hidden patterns of clinically relevant data sets. This technique can be
Heart Attack Prediction System Based Neural Arbitration
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Heart attack is an asymptomatic and epidemic medical condition that may suddenly occur and causes death . Therefore, it is a life-threatening condition and it should be detected before it occurs. Heart attack is so far predicted using the conventional ways of doctors
Arrhythmia Classification for Heart Attack Prediction
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The dataset is contains 452 patients and 279 features per patient. The features include patient attributes such as age, height, weight, and gender as well as quantized ECG data such as the amplitude and width of the R, Q, and S waves. The patients are separated into
FAST AND EFFECTIVE HEART ATTACK PREDICTION SYSTEM USING NON LINEAR CELLULAR AUTOMATA
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ABSTRACT These days the Cellular Automata based Classifier have been widely used as tool for solving many decisions modeling problems. Medical diagnosis is an important but complicated task that should be performed accurately and efficiently and its automation
High Accurate Prediction of Heart Attack by Clustering Algorithms
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In this present work a group
of 14 important heart risk attributes is developed from the data set of 76 parameters. The most popular 5 algorithms of J48, Naïve, CART, KNN, and NN are adopted for the prediction . The comparative studies have resulted in finding a new algorithm
Effective Prediction Of Heart Attack by Fuzzy Clustering on Medical Data
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This research involves data mining techniques on patient database. We are applying association rule mining on the available data set from a patient data repository. After applying the Apriori algorithm certain rules are generated. To get better results we are going
Applying the Regression Technique for Prediction of the Acute Heart Attack
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Myocardial infarction is one of the leading causes of death in the world. Some of these deaths occur even before the patient reaches the hospital. Myocardial infarction occurs as a result of impaired blood supply. Because the most of these deaths are due to coronary artery
ECG SIGNAL ANALYSIS AND PREDICTION OF HEART ATTACK WITH THE HELP OF OPTIMIZED NEURAL NETWORK USING GENETIC ALGORITHM
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Heart Attacks are the major cause of death in the world today, particularly in India. The need to predict this is a major necessity for improving the countries healthcare sector. Accurate and precise prediction of the heart disease mainly depends on Electrocardiogram (ECG)