Clinical databases have accumulated large quantities of information about patients and their medical
conditions. The term Heart disease encompasses the diverse diseases that affect the heart. Heart disease is the
major cause of casualties in the world. The term Heart disease encompasses the diverse diseases that affect the
heart. Heart disease kills one person every 34 seconds in the United States. Coronary heart disease,
Cardiomyopathy and Cardiovascular disease are some categories of heart diseases. The term “cardiovascular
disease” includes a wide range of conditions that affect the heart and the blood vessels and the manner in which
blood is pumped and circulated through the body. Cardiovascular disease (CVD) results in severe illness,
disability, and death.
Record set with medical attributes was obtained from the Cleveland Heart Disease database. With the
help of the dataset, the patterns significant to the heart attack prediction are extracted. The records were split
equally into two datasets: training dataset and testing dataset. To avoid bias, the records for each set were
selected randomly.
The attribute “Diagnosis” is identified as the predictable attribute with value “1” for patients with heart
disease and value “0” for patients with no heart disease. “PatientId” is used as the key; the rest are input
attributes. It is assumed that problems such as missing data, inconsistent data, and duplicate data have all been
resolved.
Clinical databases have accumulated large quantities of information about patients and their medicalconditions. The term Heart disease encompasses the diverse diseases that affect the heart. Heart disease is themajor cause of casualties in the world. The term Heart disease encompasses the diverse diseases that affect theheart. Heart disease kills one person every 34 seconds in the United States. Coronary heart disease,Cardiomyopathy and Cardiovascular disease are some categories of heart diseases. The term “cardiovasculardisease” includes a wide range of conditions that affect the heart and the blood vessels and the manner in whichblood is pumped and circulated through the body. Cardiovascular disease (CVD) results in severe illness,disability, and death.Record set with medical attributes was obtained from the Cleveland Heart Disease database. With thehelp of the dataset, the patterns significant to the heart attack prediction are extracted. The records were splitequally into two datasets: training dataset and testing dataset. To avoid bias, the records for each set wereselected randomly.The attribute “Diagnosis” is identified as the predictable attribute with value “1” for patients with heartdisease and value “0” for patients with no heart disease. “PatientId” is used as the key; the rest are inputattributes. It is assumed that problems such as missing data, inconsistent data, and duplicate data have all beenresolved.
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