Prediction of Cardiovascular Disease by Feature Selection and Machine Learning Techniques
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8479-4_34
Reference17 articles.
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2. Ganesan M, Sivakumar N (2019) IoT based heart disease prediction and diagnosis model for healthcare using machine learning models. In: 2019 IEEE International conference on system, computation, automation and networking (ICSCAN), Pondicherry, India, pp. 1–5. https://doi.org/10.1109/ICSCAN.2019.8878850
3. Shree Raksha GM, Hegde R, Shivani MN, Shrinidhi PS, Thashwin Monnappa, MM, Soumyasri SM (2022) A novel technique for prediction of cardiovascular disease. In: 2022 IEEE international conference on data science and information system (ICDSIS), Hassan, India, pp 1–5(2022)
4. Kigka VI et al (2018) A machine learning approach for the prediction of the progression of cardiovascular disease based on clinical and non-invasive imaging data. In: 2018 40th annual international conference of the IEEE Engineering in medicine and biology society (EMBC), Honolulu, HI, USA, pp. 6108–6111. https://doi.org/10.1109/EMBC.2018.8513620
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