Machine learning methods for medical diagnostics based on a multimodal approach: a brief review

V. Pisarkova, Ekaterina Lopukhova, Alfiya Yamileva, Alexey S. Kovtunenko, G. Voronkov, E. Grakhova, R. Kutluyarov, A. Bilyalov
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Abstract

The brief review shows the potential of machine learning to improve the accuracy of multimodal medical diagnostic methods to a new level. Various machine learning algorithms, modalities, and cases demonstrating this approach’s significance are considered.
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基于多模态方法的医学诊断机器学习方法:简要回顾
简要回顾显示了机器学习将多模式医学诊断方法的准确性提高到一个新水平的潜力。考虑了各种机器学习算法,模式和证明该方法重要性的案例。
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