Explore the potential factors affecting the medical experience of the smart medical platform based on the method of word embedding

Jiawei You; Qi Cheng; Ruiji Tang

doi:10.1117/12.2671091

28 April 2023 Explore the potential factors affecting the medical experience of the smart medical platform based on the method of word embedding

Jiawei You, Qi Cheng, Ruiji Tang

Author Affiliations +

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126103V (2023) https://doi.org/10.1117/12.2671091
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

Medical review on the medical platform contains valuable information, including patient concerns, opinions, suggestions and emotional tendencies. This paper utilizes text mining technology to investigate consumers' emotional tendencies, automatically identify keywords in Internet hospital review texts, and use theme models, word embeddings and other technologies to analyze consumers' potential needs and wishes. The research results can provide an important reference for smart medical port managers to formulate targeted management and promotion strategies.

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Jiawei You, Qi Cheng, and Ruiji Tang "Explore the potential factors affecting the medical experience of the smart medical platform based on the method of word embedding", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126103V (28 April 2023); https://doi.org/10.1117/12.2671091

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