Author(s)

Yunfan Deng ¹

Affiliation(s)

¹ Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China

Corresponding Author

Yunfan Deng

ABSTRACT

This paper discusses the application of machine learning algorithms in medical diagnosis, aiming to explore their impact on the accuracy and efficiency of disease diagnosis. Through case analysis and literature review, the paper elaborates on the application of machine learning algorithms in medical diagnosis, including multimodal data fusion, automated diagnosis, and deep learning algorithms. The research indicates that machine learning algorithms can improve the accuracy and efficiency of disease diagnosis through learning and analysis of large amounts of data. While machine learning algorithms have great potential in medical diagnosis, it is essential to ensure data quality, privacy, and algorithm transparency. Interdisciplinary collaboration is recommended to promote sustainable development in healthcare.

KEYWORDS

Machine Learning; Medical Diagnosis; Multimodal Data Fusion; Automated Diagnosis; Deep Learning

CITE THIS PAPER

Yunfan Deng, Application Research of Machine Learning Algorithms in Medical Diagnosis. Journal of Artificial Intelligence Practice (2024) Vol. 7: 107-111. DOI: http://dx.doi.org/10.23977/jaip.2024.070214.

REFERENCES

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