Predicting Cardiovascular Disease in Patients with Machine Learning and Feature Engineering Techniques
Cardiac disease prediction and detection are among the most difficult and important jobs encountered by medical practitioners. Heart disease can be caused by a range of factors, including a sedentary lifestyle, stress, alcohol, cigarette intake, and so on. The current prediction algorithms focus on...
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| Main Author: | Tyagi, Sapna (author) |
|---|---|
| Other Authors: | Sirohi, Preeti (author), Maheshwari, Piyush (author) |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://bspace.buid.ac.ae/handle/1234/3094 https://doi.org/10.1109/ICSPIS57063.2022.10002692. |
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