CLASSIFICATION OF CARDIOVASCULAR DISEASES BASED ON ECHOCARDIOGRAM DATA

Authors

  • Otaboyeva Munisa Ollabergan qizi master of Urgench branch of Tashkent University of Information Technologies named after Muhammad al-Khwarazmi
  • Atakhanova Alo Alisher qizi master of Urgench branch of Tashkent University of Information Technologies named after Muhammad al-Khwarazmi)

Abstract

In particular, the aim of the thesis is to learn common algorithms used in machine learning and review selected applications in cardiovascular medicine.

References

Kuo FC, Mar BG, Lindsley RC, Lindeman NI. The relative utilities of genome-wide, gene panel, and individual gene sequencing in clinical practice. Blood 2017;130:433–9. 2. Muse ED, Barrett PM, Steinhubl SR, Topol EJ. Towards a smart medical home. Lancet 2017;389: 358.

https://www.imagebiopsy.com/blog-posts/growing-role-of-artificial-intelligence in-cardiology.

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Published

2023-01-07

Issue

Vol. 2 No. 1 (2023): ICSRNSS

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

CLASSIFICATION OF CARDIOVASCULAR DISEASES BASED ON ECHOCARDIOGRAM DATA. (2023). Proceedings of International Conference on Scientific Research in Natural and Social Sciences, 2(1), 254-256. https://econferenceseries.com/index.php/srnss/article/view/906