脑膜炎筛查模型的验证:综述

Ankita Tripathi, Utsav Gupta, Pooja Chaurasiya, Priya Pandey, Sristi Raj
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引用次数: 0

摘要

脑膜炎是一种由脑膜炎症引起的疾病。脑膜炎可由细菌、病毒、真菌、寄生虫和阿米巴原虫引起。有趣的是,有些脑膜炎是传染性的,而另一些则是非传染性的。脑膜炎的非感染性原因是自身免疫性疾病、癌症/副肿瘤综合征和药物反应。有几个与脑膜炎相关的危险因素,如硬脑膜缺陷、酗酒、年龄、医疗状况、某种暴露等等。由于脑膜炎是一种严重而微妙的疾病,需要几种筛查模型来验证脑膜炎。这些模型依赖于回归模型、多元回归模型和逻辑模型等主题计算,还有一些脑膜炎的动物模型。因此,在这里我们简要地讨论脑膜炎和模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VALIDATION OF SCREENING MODEL FOR MENINGITIS: A REVIEW
Meningitis is a condition caused by the inflammation of the meninges. Meningitis can be caused by bacteria, viruses, fungi, parasites, and amebic. Interestingly some meningitis is infectious, while other is non-infectious. The non-infectious causes of meningitis are autoimmune illnesses, cancer/paraneoplastic syndromes, and medication responses. There are several risk factors associated with meningitis, like a defect in the dural, alcoholism, age, medical condition, some kind of exposure, and so on. Since meningitis is a serious and delicate condition, the need of several screening models is required to validate meningitis. These models depend on thematical calculations like regression models, multiple regression models, and logistic models, and some animal models are also there for meningitis. Hence, here we discussed meningitis and models briefly.
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