Komasawa Nobuyasu, Terasaki Fumio, Nakano Takashi, Saura Ryuichi, Kawata Ryo
Medical Education Center Osaka Medical College Takatsuki Japan.
Medical Students' Life Support Center Osaka Medical College Takatsuki Japan.
Acute Med Surg. 2020 Oct 2;7(1):e576. doi: 10.1002/ams2.576. eCollection 2020 Jan-Dec.
The coronavirus disease 2019 (COVID-19) pandemic has presented various challenges to medical schools. We performed a text mining analysis via essay task to clarify perceptions among final-year medical students toward the COVID-19 pandemic.
We posed the following essay question to 124 final-year medical students: "What should medical staff do during the COVID-19 pandemic; what should you do?" Responses were subjected to quantitative analysis using a text mining approach. Frequently occurring key words were extracted, followed by multidimensional scaling and co-occurrence network calculations.
Of the 124 students, 123 (99.2%) responded to the essay question. The following seven key words were identified as high-frequency words: medical, infection, patient, human, myself, doctor, and information. Co-occurrence network calculations revealed that the word "medical" had a high degree of correlation with most key words, except for "doctor." The word "myself" was correlated with not only "medical" but also "infection," "human," and "doctor."
Our analysis of perceptions among final-year medical students toward the COVID-19 pandemic revealed that most medical students are strongly affected by the COVID-19 pandemic and are motivated to work as physicians among health care professionals.
2019年冠状病毒病（COVID-19）大流行给医学院校带来了各种挑战。我们通过论文任务进行了文本挖掘分析，以阐明医学专业最后一年学生对COVID-19大流行的看法。
我们向124名医学专业最后一年的学生提出了以下论文问题：“在COVID-19大流行期间医护人员应该做什么；你应该做什么？”使用文本挖掘方法对回答进行定量分析。提取频繁出现的关键词，然后进行多维缩放和共现网络计算。
124名学生中，123名（99.2%）回答了论文问题。以下七个关键词被确定为高频词：医学、感染、患者、人、我自己、医生和信息。共现网络计算显示，“医学”一词与大多数关键词高度相关，但与“医生”除外。“我自己”一词不仅与“医学”相关，还与“感染”、“人”和“医生”相关。
我们对医学专业最后一年学生对COVID-19大流行看法的分析表明，大多数医学生受到COVID-19大流行的强烈影响，并有动力在医疗保健专业人员中担任医生。
