The development of artificial intelligence technology brings new opportunities for social governance, especially in the emergency treatment of public health emergencies; the application scenarios of artificial intelligence are more and more abundant. Based on the study of public health emergencies from the perspective of psychology, this paper systematically studies the cultivation of talents in higher education and the application of artificial intelligence by using qualitative and quantitative research methods such as literature analysis and questionnaire survey. In this paper, we use Chinese and foreign academic journal network, China master and doctoral dissertation database, VIP and other network resource databases to search for literature and materials related to the quality of higher education and the application of artificial intelligence, and summarize and sort out the relevant data, so as to find out the shortcomings of existing research. The results show that "innovation ability" is only 3.29, "practice and skills" accounts for 38%. Colleges and universities should strengthen the cultivation of students' innovative ability and medical workers' practice and skills, so as to better respond to public health emergencies. The experimental results of drug solubility prediction show that the prediction efficiency of neural network is better than that of linear regression model. Big data driven artificial intelligence knowledge discovery algorithm is becoming an effective tool to improve drug development efficiency and reduce research and development costs.

Feng Liu. Artificial Intelligence and Special Rraining of Higher Education Talents in Response to Public Health Emergencies from the Perspective of Psychology. International Journal of Frontiers in Engineering Technology (2021), Vol. 3, Issue 8: 1-9. https://doi.org/10.25236/IJFET.2021.030801.

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