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1.
Journal of Traditional Chinese Medicine ; (12): 154-158, 2024.
Artículo en Chino | WPRIM | ID: wpr-1005364

RESUMEN

Data analysis models may assist the transmission of traditional Chinese medicine (TCM) experience and clinical diagnosis and treatment, and the possibility of constructing a “data-knowledge” dual-drive model was explored by taking gastric precancerous state as an example. Data-driven is to make clinical decisions around data analysis, and its syndrome-differentiation decision-making research relies on hidden structural models and partially observable Markov decision-making processes to identify the etiology of diseases, syndrome elements, evolution of pathogenesis, and syndrome differentiation protocols; knowledge-driven is to make use of data and information to promote decision-making and action processes, and its syndrome-differentiation decision-making research relies on convolutional neural networks to improve the accuracy of local disease identification and syndrome differentiation. The “data-knowledge” dual-driven model can make up for the shortcomings of single-drive numerical simulation accuracy, and achieve a balance between local disease identification and macroscopic syndrome differentiation. On the basis of previous research, we explored the construction method of diagnostic assisted decision-making platform for gastric precancerous state, and believed that the diagnostic and decision-making ability of doctors can be extended through the assistance of machines and algorithms. Meanwhile, the related research methods were integrated and the core features of gastric precancerous state based on TCM syndrome differentiation and endoscopic pathology diagnosis and prediction were obtained, and the elements of endoscopic pathology recognition based on TCM syndrome differentiation were explored, so as to provide ideas for the in-depth research and innovative application of cutting-edge data analysis technology in the field of intelligent TCM syndrome differentiation.

2.
The Journal of Clinical Anesthesiology ; (12): 665-667, 2016.
Artículo en Chino | WPRIM | ID: wpr-495030

RESUMEN

Objective To determine ED50 and ED9 5 of etomidate for combined remifentanil used in elderly patients in gastroscope.Methods Twenty-three patients were scheduled to receive gastros-copy aged 65-78 years old including males 13 and females 10,weighting 45-76 kg and ASA Ⅰ-Ⅲ. They were slowly injected remifentanil 0.3 μg/kg,and then etomidate 0.20 mg/kg,gastroscopy was performed after their eyelash reflex disappeared.The dosage of etomidate were determined by modified up-and-down methods,0.20 mg/kg was initial dosage.During the gastroscope,restlessness, frowning,swallowing,choking cough could be seen.The adjacent experimental interval dosage was 0.05 mg/kg,the trial was ended when there was the seventh cross-sectional,and determined the ED50 and ED9 5 of etomidate and (95%confidence interval)of them for gastroscope with probability a-nalysis methods.Results The ED50 of etomidate was 0.1 7 mg/kg and 95%CI 0.14-0.21 mg/kg,and the ED9 5 was 0.23 mg/kg,95%CI 0.20-0.42 mg/kg respectively.Conclusion The ED50 and ED9 5 of etomidate combined with remifentanil used for elderly patients for gastroscope respectively are 0.1 7 mg/kg and 0.23 mg/kg.

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