Creutzfeldt-Jakob disease (CJD) is a rapidly progressive and fatal neurodegenerative disease, that causes approximately 350 deaths in the United States every year. In specific, it is a prion disease that is caused by a misfolded prion protein, termed $PrP^{Sc}$, which is the infectious form of the prion protein $PrP^{C}$. Rather than being recycled by the body, the $PrP^{Sc}$ aggregates in the brain as plaques, leading to neurodegeneration of surrounding cells and the spongiform characteristics of the pathology. However, there has been very little research done into factors that can affect one's chances of acquiring $PrP^{Sc}$. In this paper, Elastic Net Regression, Long Short-Term Memory Recurrent Neural Network Architectures, and Random Forest have been used to predict Creutzfeldt-Jakob Disease Levels in the United States. New variables were created as data for the models to use on the basis of common factors that are known to affect CJD, such as soil, food, and water quality. Based on the root mean square error (RMSE), mean bias error (MBE), and mean absolute error (MAE) values, the study reveals the high impact of unhealthy lifestyle choices, CO$_{2}$ Levels, Pesticide Usage, and Potash K$_{2}$O Usage on CJD Levels. In doing so, the study highlights new avenues of research for CJD prevention and detection, as well as potential causes.

翻译：Creutzfeldt-Jakob疾病(CJD)是一种快速进步和致命的神经退化性疾病,每年在美国造成约350人死亡。具体地说,这是由一个被错误折叠的蛋白质(称为$PrP ⁇ Sc}$PrPrP ⁇ Sc}美元)引起的棱皮病,这是蛋白质蛋白质($PrP ⁇ C ⁇ C})的传染形式。 大脑中的$PrP ⁇ Sc}($PrP ⁇ D$)的总合不是被人体回收,而是导致周围细胞神经退化,以及病理学的凝固性特征特征特征特征。然而,对于可能影响一个人获得 $PrP ⁇ S}Sc} 蛋白蛋白质(PrP ⁇ S} $Pr ⁇ C} 美元。本文中,“长期内存记忆”网络架构和“随机森林”被用来预测美国Creutzfeld-Jakob疾病水平。 创造了新的变量,作为模型使用的数据,用于共同因素,而这些模型的基础是CJD 根基的路径, 根基的根基的根和底的根基的根、底的根基的根基的根、基值的根、基的根基的根、底的根、基的根、基的根基的根基的根基的根基的根基的根、基的根的根的根的根的根、基的根和底的根的根的根、基的根和底的根、基的根、基的根、基的根基的根、基的根、基的根基的根基的根基的根基的根基的根基的根基的根基的根基的根基的根基的根基的根基的根基的根、基的根、基的根、基的根、基的根、基的根、基的根、基的根、基的根基的根、基的根、基的根、基的根、基的根基的根基的根、基的根、基的根、基的根、基的根基的根基的根基的根基的根基的根基的根基的根基的根基的根基的