The rapid development of intelligent computer technology has promoted the improvement of people's living standards and the application of the entire intelligent system. In modern medicine, doctors use their accumulated experience and medical knowledge to diagnose diseases and draw conclusions. In order to effectively inherit the diagnosis experience accumulated by doctors, R&D personnel put forward the idea of using artificial intelligence technology to develop an intelligent auxiliary medical diagnosis system. Aiming at the abovementioned machine-learning problems in the medical field, this article mainly introduces the application research of propofol in oral and maxillofacial surgery anesthesia based on smart medical blockchain technology. This paper proposes a research method based on smart medical blockchain technology to assist propofol in oral and maxillofacial surgery anesthesia, including support vector machine data classification algorithm, decision tree data classification algorithm, and machine-learning-based LSTM neural network. Research experiments on the application of intelligent medical aid propofol in oral and maxillofacial surgery anesthesia are conducted. The experimental results in this paper show that the response time of the general business logic interface of the application system of propofol in oral and maxillofacial surgery anesthesia based on smart medical blockchain technology is about 41 milliseconds, which can better help doctors in anesthesia and related treatments.
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King Abdulaziz Univ, Fac Comp & Informat Technol, POB 344, Rabigh 21911, Saudi ArabiaKing Abdulaziz Univ, Fac Comp & Informat Technol, POB 344, Rabigh 21911, Saudi Arabia
Mashat, Arwa
Alabdali, Aliaa M.
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King Abdulaziz Univ, Fac Comp & Informat Technol, POB 344, Rabigh 21911, Saudi ArabiaKing Abdulaziz Univ, Fac Comp & Informat Technol, POB 344, Rabigh 21911, Saudi Arabia
机构:
Hainan Med Coll, Affiliated Hosp 2, Haikou 570311, Hainan, Peoples R ChinaHainan Med Coll, Affiliated Hosp 2, Haikou 570311, Hainan, Peoples R China
Wu, Xiaofang
Wang, Chunjun
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Hainan Women & Childrens Med Ctr, Haikou 570000, Hainan, Peoples R ChinaHainan Med Coll, Affiliated Hosp 2, Haikou 570311, Hainan, Peoples R China
Wang, Chunjun
Cai, Fangzhen
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Hainan Med Coll, Affiliated Hosp 2, Haikou 570311, Hainan, Peoples R ChinaHainan Med Coll, Affiliated Hosp 2, Haikou 570311, Hainan, Peoples R China
Cai, Fangzhen
Wu, Yingfen
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Hainan Med Coll, Affiliated Hosp 2, Haikou 570311, Hainan, Peoples R ChinaHainan Med Coll, Affiliated Hosp 2, Haikou 570311, Hainan, Peoples R China
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North China Univ Sci & Technol, Qingong Coll, Fac Int Languages, Tangshan 064000, Hebei, Peoples R ChinaNorth China Univ Sci & Technol, Qingong Coll, Fac Int Languages, Tangshan 064000, Hebei, Peoples R China
Gu, Shan
Zhang, Si
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North China Univ Sci & Technol, Qingong Coll, Fac Int Languages, Tangshan 064000, Hebei, Peoples R ChinaNorth China Univ Sci & Technol, Qingong Coll, Fac Int Languages, Tangshan 064000, Hebei, Peoples R China
Zhang, Si
Miao, Yuji
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North China Univ Sci & Technol, Qingong Coll, Fac Int Languages, Tangshan 064000, Hebei, Peoples R ChinaNorth China Univ Sci & Technol, Qingong Coll, Fac Int Languages, Tangshan 064000, Hebei, Peoples R China