期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：7
页码：2579-2584
DOI：10.35629/5252-030724272431
语种：English
出版社：IJAEM JOURNAL
摘要：Technology improvements have a fast impact oneach subject of life, be it clinical subject or some other subject. The COVID-19 pandemic was a health emergency that required a rapid response by the National Health System. It is transmitted by inhaling or having contact with droplets. In this system, clinical reports of the patients are collected. The dataset consist of clinical reports in the form of text. In this work, supervised machine learning techniques are used for classifying the text into four different categories. In this project, clinical text reports are classified into four different categories of diseases such that it can help in detecting corona virus from earlier clinical symptoms. Empirical evaluation of various machine learning techniques such as supervised learning algorithm will be used in this project work.
