Department of Anesthesiology, Affiliated Hospital of Beihua University, Jilin 132012, China.
Department of Endocrine, Affiliated Hospital of Beihua University, Jilin 132012, China.
J Healthc Eng. 2021 Apr 1;2021:5529798. doi: 10.1155/2021/5529798. eCollection 2021.
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.
智能计算机技术的飞速发展,促进了人们生活水平的提高和整个智能系统的应用。在现代医学中,医生运用自己积累的经验和医学知识进行诊断并得出结论。为了有效地继承医生积累的诊断经验,研发人员提出了利用人工智能技术开发智能辅助医疗诊断系统的想法。针对上述医学领域的机器学习问题,本文主要介绍了基于智能医疗区块链技术的丙泊酚在口腔颌面外科麻醉中的应用研究。本文提出了一种基于智能医疗区块链技术辅助丙泊酚在口腔颌面外科麻醉的研究方法,包括支持向量机数据分类算法、决策树数据分类算法和基于机器学习的 LSTM 神经网络。对智能医疗辅助丙泊酚在口腔颌面外科麻醉中的应用进行了研究实验。本文的实验结果表明,基于智能医疗区块链技术的口腔颌面外科麻醉丙泊酚应用系统的通用业务逻辑接口的响应时间约为 41 毫秒,这可以更好地帮助医生进行麻醉及相关治疗。