A model for the initial diagnosis of cerebellar disease
A model for the initial diagnosis of cerebellar disease
复制标题
小脑疾病初步诊断模型
DOI：
10.1080/01691864.2016.1272490
复制
发表时间：
2017
影响因子：
2
通讯作者：
K. Takakusaki and J. Ota
中科院分区：
文献类型：
--
作者：
R. Chiba;S. Shiraishi;K. Takakusaki and J. Ota
早期诊断潜在的小脑疾病是非常重要的，因为它允许快速干预和治疗所确定的疾病。更有效的诊断和治疗将有助于识别哪些特定的小脑区域受损。在本文中，我们提出了一个初步诊断区域小脑损伤的方法。我们的模型使用运动功能作为区域中介的输出和各种指标（运动评估）作为输入。我们还讨论了哪些指数表示可能的无序功能。我们测试了我们提出的方法，将其应用于实验诊断小脑疾病的大鼠。正确估计率为74.5%。我们认为这是一个足够高的初步诊断率，并建议它可能是更有效的应用于人类。
Early diagnosis of potential cerebellar disease is incredibly important, as it allows rapid intervention and treatment of the identified disorder. More effective diagnosis and treatment would be aided by identification of which specific cerebellar regions are impaired. In this paper, we propose a method for initial diagnosis of regional cerebellar impairments. Our model uses motor functions as regional intermediaries for the outputs and various indexes (motor assessments) as the inputs. We also discuss which indexes indicate possible disordered functions. We tested our proposed method by applying it experimentally to the diagnosis of cerebellar disorder in rats. The percentage of correct estimations was 74.5%. We consider this a sufficiently high rate for initial diagnosis and suggest that it may be more effective when applied to humans.