Abstract
There are many complications depending on the operation. Therefore, the data measured a meta-analysis on the effect of introducing novel information technology for preventing complications after esophageal resection. The respondents are classified into two groups. Basic questions of respondents were observed in X²-test. Questions about the causes of esophageal cancer in respondents were investigated by X2-test. The symptoms of esophageal cancer were conducted with a X²-test. Physical symptoms and system effect over time have been analyzed by t-test. The t-test tested significance for new information effects introduction to prevent complications after esophageal resection. The findings obtained are as follows. 1) In the case of family history, 46.0% of case population with family history was significantly higher than 17.5% of comparative population with family history(X2=2.78. p
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CITATION STYLE
Lee, S. R. (2019). A Meta-Analysis on the Effect of Introducing Novel Information Technology for Preventing Complications After Esophageal Resection. International Journal of Innovative Technology and Exploring Engineering, 8(8), 824–827.
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