Heart disease is one of the complex diseases and globally many people suffered from this disease. On time and efficient identification of heart disease plays a key role in healthcare, particularly in the field of cardiology. In this, input data are taken from Excel dataset. Then the values such as Chest Pain Type, Resting BP (mm Hg), Serum Cholesterol(mg/dl), Fasting Blood Sugar, Resting Electro Cardio graphic Result, Maximum Heart Rate Achieved, Exercise Induced Angina are predicted for detecting the heart diseases. After that the output is predicted as the Heart disease condition.
Excel dataset and values such as Chest Pain Type, Resting BP(mm Hg), Serum Cholesterol(mg/dl), Fasting Blood Sugar, Resting Electro Cardio graphic Result, Maximum Heart Rate Achieved, Exercise Induced Angina.
Heart disease – condition
#Heart, # Algorithm, # Accurate, # Weights, # Features, # Coefficient, # database, #Resting, # diagnosis, #Cholesterol, # Prediction, # Mechanisms, # Selection, #Exercise, # Wrapper, #Angina, #disease, #Graphical, #Healthcare, #Elimination, #cardiology, # Attributes, # Classification, #irrelevant, #redundant, #Optimizer, #Samples, #assessment, #performances, #Data, #Operations.
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