Modelling methods of artificial intelligence in medical application

Yixuan Sun

doi:10.54254/2755-2721/18/20230962

Research Article

Open access

Published on 23 October 2023

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Sun,Y. (2023). Modelling methods of artificial intelligence in medical application. Applied and Computational Engineering,18,42-47.

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Modelling methods of artificial intelligence in medical application

Yixuan Sun *^,1,

¹ Tianjin University of Finance and Economics

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/18/20230962

Abstract

Artificial intelligence is a branch of computer science, an intelligent system that can simulate human thinking, recognize complex situations, acquire learning abilities and knowledge, and solve problems. With the continuous development of information technology, artificial intelligence techniques are increasingly being improved and applied to large-scale genetics research, image detection and classification in medicine. Predictive models for medical data can be built using a wide range of machine learning algorithms: decision trees, multilayer perceptrons, plain Bayes, random forests, and support vector machines, etc., thus processing massive, high-dimensional data and conducting medical research. This paper addresses the specific applications of artificial intelligence in medical practice.

Keywords

artificial intelligence, medical machine learning, artificial intelligence

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References

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Cite this article

Sun,Y. (2023). Modelling methods of artificial intelligence in medical application. Applied and Computational Engineering,18,42-47.

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About volume

Volume title: Proceedings of the 5th International Conference on Computing and Data Science

Conference website: https://2023.confcds.org/

ISBN：978-1-83558-027-1(Print) / 978-1-83558-028-8(Online)

Conference date: 14 July 2023

Editor：Marwan Omar, Roman Bauer, Alan Wang

Series: Applied and Computational Engineering

Volume number: Vol.18

ISSN：2755-2721(Print) / 2755-273X(Online)

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