| Autor: |
M Deepika, P. Jayasimman, G. Sanjay, M. Sivaprakash, T. P. Vignesh |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
International Journal for Research in Applied Science and Engineering Technology. 11:2741-2748 |
| ISSN: |
2321-9653 |
| DOI: |
10.22214/ijraset.2023.50650 |
| Popis: |
In day to day life, there are various factors that affect the mortal heart. Numerous problems are being at a rapid-fire pace and novel heart conditions are fleetly identified. In this stressful of world, Heart, being an essential organ in the body pumps blood through the body for blood rotation essential and its health is to be conserved for a healthy living. The main provocation of doing this design is to provide a heart complaint prediction model for the prediction of circumstances of heart complaints. Further, this exploration study is aimed towards relating the algorithms to relate the possibility of heart complaint in a case. The identification of possibility of heart complaints in a person is complicated process for medical interpreters because it takes times of experience and violent medical tests need to be conducted. In this study, two data mining algorithms such as KNN and SVM classification are addressed and used to develop the prediction system in order to dissect as well as prognosticate the possibility of heart complaint. The main idea of the significant exploration work is to identify algorithms suitable to provide maximum accuracy when classification of normal/abnormal person is carried out. Therefore prevention of loss of lives at an earlier stage is now possible. It is sure that the above algorithms perform better when compared to other algorithms for heart complaint prediction. The design is designed using Python 3.7. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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