COMPARATIVE STUDY TO IDENTIFY THE HEART DISEASE USING MACHINE LEARNING ALGORITHMS
Authors:
Chanapathi Indu Navya Sri, V.Srivalli Devi
Page No: 532-538
Abstract:
The healthcare industries acquire massive portions of facts which encompass some hidden information; it virtually is useful for making powerful options. For giving appropriate results as nicely as making dependable options on records, some modern-day-day facts enhancing strategies are used. In today’s era deaths due to heart disease has become a major issue approximately one person dies per minute due to heart disease. This is considering both male and female category and this ratio may vary according to the region also this ratio is considered for the people of age group 25-69. This does not indicate that the people with other age group will not be affected by heart diseases. This problem may start in early age group also and predict the cause and disease is a major challenge nowadays. Here in this paper, we have discussed various algorithms and tools used for prediction of heart diseases.
Description:
.
Volume & Issue
Volume-14,Issue-4
Keywords
Key words: GBM, boosting algorithm, Heart performance.