Published June 30, 2020
| Version v1
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Active Prediction of Heart Disease using Techniques of Hybrid Machine Learning
- 1. Department of Information Science and Engineering, Alva's Institute of Engineering and Technology, Moodbidri , India
Contributors
- 1. Publisher
Description
In this world one of the main sources of death is dependent on coronary illness happens in both men and women. It might cause because of the absence of data or inadequate data gave by the doctor in light of some innovation issue or because the prediction level is low. We have additionally observed the utilization of ML methods in ongoing advancements in different Internet of Things (IoT) fields. Different examinations just give a brief look at anticipating coronary illness utilizing ML methods. In this paper, we are looking at how this hybrid method is better than utilizing a single calculation which gives higher exactness up to 88.7% than contrast with different procedures
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- Journal article: 2249-8958 (ISSN)
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- ISSN
- 2249-8958
- Retrieval Number
- E9660069520/2020©BEIESP