Abstract
In recent years, the relationship between doctors and patients in hospitals has been relatively tense. Doctors often comfort patients in hospital on the one hand, and manually record various information on the other hand. In order to facilitate the recording of nursing information and facilitate doctors’ ward rounds, the hospital needs to establish a clinical intelligent interactive system. The system can use voice to input information in the case of inconvenient manual operation. For the speech recognition module in the system, the acoustic model for speech recognition based on Hidden Markov Model is used, and by combining the specific conditions of the hospital to collect the speech of all doctors, the interaction efficiency between doctors and patients is greatly improved.
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Acknowledgment
This research is supported by the Key Program of the Natural Science Foundation of the Educational Commission of Anhui Province of China (Grant No. 2022AH050319, 2022AH052740, 2022AH052713) and the Natural Science Foundation Project of Anhui Province of China (Grant No. 1908085MF212).
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Liu, Y., Wang, Y., Tang, J., Tao, T. (2023). Clinical Intelligent Interactive System Based on Optimized Hidden Markov Model. In: Hong, W., Weng, Y. (eds) Computer Science and Education. ICCSE 2022. Communications in Computer and Information Science, vol 1811. Springer, Singapore. https://doi.org/10.1007/978-981-99-2443-1_47
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DOI: https://doi.org/10.1007/978-981-99-2443-1_47
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