Expert System for Diagnosis Coronavirus Disease

Sholestica Elmie Dansy, A. Yani, A. Manaf, A. Abdulbaqi, Nurul Iksan
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Abstract

The latest issue of the disease called COVID-19 has become famous all over the world. Hence, through this problem, it found that this disease have the same symptom with other diseases such as Influenza and also normal flu. Detecting diseases at early stage can enable to overcome and treat them appropriately. This is because many of peoples does not know and does not aware of the symptom of this various diseases. In an effort to address those problems, an Expert System for Corona Earlier Detection has been proposed to help the doctors to detect those various diseases in human body. Through this research, the researcher will held an interview with the doctors to collect data and information about those diseases’ symptoms and also search for the related articles to make sure this research going successfully. The method that will be used in this research is Certainty Factor. To conclude, this system will be useful to the healthcare department as it will give earlier detection when the patient are positively exposed to the disease that is known by Corona.
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冠状病毒病诊断专家系统
最新一期的新冠肺炎(COVID-19)已经风靡全球。因此,通过这个问题,它发现这种疾病与流感等其他疾病有相同的症状,也有正常的流感。在早期阶段发现疾病可以使我们能够克服和适当地治疗疾病。这是因为许多人不知道也没有意识到这各种疾病的症状。为了解决这些问题,已经提出了冠状病毒早期检测专家系统,以帮助医生检测人体中的各种疾病。通过这项研究,研究者将与医生进行访谈,收集有关这些疾病症状的数据和信息,并搜索相关文章,以确保这项研究的成功进行。本研究将使用的方法是确定性因子。总而言之,该系统将对卫生保健部门有用,因为当患者暴露于已知的冠状病毒时,它可以更早地发现。
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来源期刊
IAES International Journal of Artificial Intelligence
IAES International Journal of Artificial Intelligence Decision Sciences-Information Systems and Management
CiteScore
3.90
自引率
0.00%
发文量
170
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