Book Title:
Heart Disease and Diabetes Prediction using Machine Learning
Keywords:
Heart sickness, Diabetes, mortality, algorithms, conventional gadget, coronary heart, prognosis and remedySynopsis
Heart sickness & Diabetes is one of the maximum full-size reasons of mortality in today’s world. Heart sickness and diabetes proves to be the main reason of loss of life for each guys and women. This impacts the human life very badly. The analysis of coronary heart sickness and diabetes in maximum cases relies upon on a complicated aggregate and huge extent of scientific and pathological records. Machine studying has been proven to be powerful assisting in making choices and predictions from the big amount of records produced through the fitness care industry. In this report, numerous conventional machine studying algorithms that goals in enhancing the accuracy of heart sickness and diabetes prediction has been applied. In heart diseases, correct analysis is primary and in diabetes also analysis should be perfect. To address this issue, surrogate records is generated from Cleveland dataset. The generated artificial dataset is applied with conventional gadget studying algorithms as properly as with deep studying model. The expected outcomes display that there's an development in class accuracy.
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Published
20 June 2022
Series
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Copyright (c) 2022 Shodh Sagar International Publications
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Details about the available publication format: Paperback
Paperback
ISBN-13 (15)
978-93-94411-06-7
How to Cite
Chandwani, K. S. . (Ed.). (2022). Heart Disease and Diabetes Prediction using Machine Learning. Shodh Sagar International Publications. https://doi.org/10.36676/978-93-94411-06-7
