Wu Zhiqun, Wang Xue, Pan Renlong, Huang Xiufu, Li Yuhan
Department of Neurosurgery, Shanghai Blue Cross Brain Hospital, Qixin Road 2880, Shanghai 201100, China.
Intensive Care Unit (ICU), Shanghai Tianyou Hospital, Zhen'nan Road 528, Shanghai 200333, China.
Evid Based Complement Alternat Med. 2021 Mar 2;2021:5548157. doi: 10.1155/2021/5548157. eCollection 2021.
Data was mined with the help of an artificial intelligence system based on Python, data was collected, and a database was established using a Python crawler, and the relationship between the outcome of neurosurgery ICU patients and treatment using traditional Chinese medicine was ascertained through data management and statistical processing.
The source data cases ( = 2237) were selected. By following the experimental design, data ( = 739) were obtained through artificial intelligence processing, including = 480 in the group with traditional Chinese medicine treatment and = 259 in the group without traditional Chinese medicine treatment. An evaluation was carried out using characteristics of patents' ICU stays and summated rating scales.
There were statistical differences in 5 evaluation items ( < 0.05), and other comparison items also showed data with results favoring the outcomes in the intervention group using traditional Chinese medicine. . Traditional Chinese medicine as an alternative medical protocol effectively alleviates the stress and treatment fatigue brought about by modern medicine. Artificial intelligence data mining is a favorable medium to quantify this. Python will play a greater role in future clinical research because of its own characteristics.
借助基于Python的人工智能系统挖掘数据,收集数据,并使用Python爬虫建立数据库,通过数据管理和统计处理确定神经外科重症监护病房患者的治疗结果与使用中药治疗之间的关系。
选取源数据病例(n = 2237)。按照实验设计,通过人工智能处理获得数据(n = 739),其中接受中药治疗组有480例,未接受中药治疗组有259例。利用患者重症监护病房住院特征和综合评定量表进行评估。
5项评估指标存在统计学差异(P < 0.05),其他比较项目也显示数据结果有利于使用中药的干预组。中药作为一种替代医疗方案有效减轻了现代医学带来的压力和治疗疲劳。人工智能数据挖掘是量化这一点的有利媒介。由于其自身特性,Python在未来临床研究中将发挥更大作用。