2024年6月3日发(作者：)

ChatGPT在中风预测中的应用研究（英文中文双语版优质

文档）

Stroke is a common dangerous disease and one of the leading

causes of human death and disability. Therefore, predicting

the risk of stroke has become one of the hot issues in medical

research. In recent years, artificial intelligence technology has

been widely used in the medical field, and ChatGPT, as one of

the latest natural language processing technologies, has also

begun to be applied in stroke prediction. This paper will

introduce the application research of ChatGPT in stroke

prediction.

1. Research background

Stroke is a cardiovascular disease with a high incidence rate,

and the mortality rate of stroke patients is also high.

According to the World Health Organization, more than 17

million people worldwide die from stroke each year. Therefore,

it is of great significance to predict the risk of stroke. Existing

stroke prediction methods are mainly based on traditional

statistical models and machine learning methods, but these

methods usually require a lot of manpower and time, and also

have some limitations. Compared with traditional machine

learning methods, deep learning techniques can better deal

with nonlinear problems and can adaptively improve the

accuracy of models by learning the characteristics of data.

ChatGPT is a natural language processing technology based on

the Transformer model. It learns the semantic representation

of language by pre-training large-scale text data, and has

powerful natural language understanding capabilities.

ChatGPT has been widely used in natural language processing

tasks such as text generation, text classification, and named

entity recognition. Therefore, using ChatGPT technology for

stroke prediction has certain prospects and significance.