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Objective:To explore data mining methods and tools for the activity paths of confirmed patients, and provide data analysis tools for epidemic control.Methods:The data used came from the trajectory data of confirmed cases collected by Tencent. The jieba word segmentation and word cloud map function of Python 3.6 were used to calculate the high-frequency vocabulary in the trajectory of confirmed patients. The epidemic prevention and control strategy was developed based on the high-frequency vocabulary.Results:Taking Guangdong Province, the second most confirmed patients in the country, as an example, the key areas of epidemic control obtained through data mining involve Wuhan (epidemiological history), Zhuhai and Guangzhou. The key control activities include family visiting, traveling and shopping. Means of transportation include self-driving, trains and airplanes; the key patients studied were Li and Ding; the symptoms of this patient group were mainly fever and cough.Conclusions:The data mining algorithm in this paper can provide an advantageous tool for epidemic prevention and control, also assist frontline personnel to adjust the deployment of epidemic prevention and control according to their priorities.
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Objective@#To explore data mining methods and tools for the activity paths of confirmed patients, and provide data analysis tools for epidemic control.@*Methods@#The data used came from the trajectory data of confirmed cases collected by Tencent. The jieba word segmentation and word cloud map function of Python 3.6 were used to calculate the high-frequency vocabulary in the trajectory of confirmed patients. The epidemic prevention and control strategy was developed based on the high-frequency vocabulary.@*Results@#Taking Guangdong Province, the second most confirmed patients in the country, as an example, the key areas of epidemic control obtained through data mining involve Wuhan (epidemiological history), Zhuhai and Guangzhou. The key control activities include family visiting, traveling and shopping. Means of transportation include self-driving, trains and airplanes; the key patients studied were Li and Ding; the symptoms of this patient group were mainly fever and cough.@*Conclusions@#The data mining algorithm in this paper can provide an advantageous tool for epidemic prevention and control, also assist frontline personnel to adjust the deployment of epidemic prevention and control according to their priorities.
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Objective To analyze the shortcomings of statistical methods of journal articles and propose solutions.Methods Information All the literature of "Basic Science" and "Medical Science and Technology" database in CNKI database was used as sampling source,and the limited time was retrieved from November 10,2014 to November 10,2017.A total number of 1 456 417 articles were found,of which 100 were sampled each year by random number method.300 articles were used to examine the application of statistical methods one by one,identifying the statistical defects and providing solutions.Results 126 out of the 300 papers analyzed used statistical methods,of which there were statistical defects.Most of the articles focused on statistics and P values without detailed annotation.The applicable conditions of statistical methods Mishandled and other issues,in view of these problems,this paper developed a statistical path map and question-answer computer system for clinical applications.Conclusions There are a lot of statistical flaws in the randomized papers.The statistical path map and the question-answering computer system proposed in this paper provide a solution to the clinical statistical problems.
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Objective To explore the application of Propensity Score Matching Methods in medical scientific research,and demonstrate the operation process of SPSS.Methods This article summarized and discussed the principle and application of PSM through the literature,a real example was adopted to introduce the operation procedures of SPSS.Results We can use PSM process to control confounding factors between the retrospective study groups effectively through SPSS.Conclusions PSM is an efficient tool to conduct retrospective study.It can provide necessary help for clinical data mining.
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BACKGROUND: It is a hot investigation to many scholars that how to cure and prevent renal ischemic reperfusion injury in a utility way, but the mechanism is unclear at present. The investigation indicates that aquaporiin-1 plays an important role during this process. OBJECTIVE: To research the correlation between aquaporin-1 expression and renal function change following renal ischemic reperfusion injury. DESIGN, TIME AND SETTING: A randomized controlled animal experiment was performed at Histology and Embryology Laboratory of Dalian Medical University from June 2007 to December 2008. MATERIALS: A total of 80 healthy female adult Wister rats were randomly divided into control group and ischemia-reperfusion group. Rats in each group were observed at days 1, 2, 3, 5, and 7 after operation, with 8 rats for each group. The ischemia-reperfusion injury was established on the left kidney. METHODS: Right kidney was removed. The left renal pedicle was freed and occlused to establish ischemia-reperfusion injury model. After 40 minutes, the blood was re-flowed. If the kidney colored from dark red to bright red within 2-5 minutes, the ischemia-reperfusion injury models were successfully established, and the thrombus was not formed in the kidney vessels. If the kidney was still dark red after 5 minutes, the thrombus was formed, and the rats were excluded from the ischemia-reperfusion group. The abdomen was sutured after 40 minutes.MAIN OUTCOME MEASURES: Rats were sacrificed at days 1, 2, 3, 5, and 7 after ischemia-reperfusion injury. Samples of urine, serum, and kidney were performed with the examinations of urine, renal function, renal pathology and morphology, immunohistological assay of aquaporiin-1, and RT-PCR assay. RESULTS: After ischemia-reperfusion injury, the rats had hydrouria, urine osmotic pressure depress, symptoms of carnine and urea nitrogen increasing. HE staining demonstrated that renal tubular epithelial cells were swelling, necrosis, and desquamate. Aquaporin-1 expression and its mRNA level was decreased; in particular, the expression and level were the lowest at day 1 after ischemia-reperfusion injury and recovered to normal value at day 5 after ischemia-reperfusion injury. CONCLUNSION: The down expression of aquaporin-1 maybe one of the important indicators to reflect renal functional changes of acute renal failure following renal ischemia-reperfusion injury.