Rule-Based Cardiovascular Disease Diagnosis
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-31956-3_63
Reference22 articles.
1. Zhao, Y., Wood, E.P., Mirin, N., Cook, S.H., Chunara, R.: Social determinants in machine learning cardiovascular disease prediction models: a systematic review. Am. J. Prev. Med. 61(4), 596–605 (2021)
2. Voloshynskyi, O., Vysotska, V., Bublyk, M.: Cardiovascular disease prediction based on machine learning technology. In: 2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT), vol. 1, pp. 69–75. IEEE (2021)
3. Yang, L., et al.: Study of cardiovascular disease prediction model based on random forest in eastern China. Sci. Rep. 10(1), 5245 (2020)
4. Choi, Y.Y., et al.: Cardiovascular disease prediction model in patients with hypertension using deep learning: analysis of the National Health Insurance Service Database from Republic of Korea. CardioMetabolic Syndr. J. 1(2), 145–154 (2021)
5. Martins, B., Ferreira, D., Neto, C., Abelha, A., Machado, J.: Data mining for cardiovascular disease prediction. J. Med. Syst. 45(1), 1–8 (2021). https://doi.org/10.1007/s10916-020-01682-8
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