机器学习模型用于痴呆症查,以使用血液标记物和人口特征的正电子发射断层扫描对脑粉样蛋白阳性进行分类:一项追溯观察性研究

Noriyuki Kimura1, Kotaro Sasaki2, Teruaki Masuda3

  • 1Department of Neurology, Faculty of Medicine, Oita University, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan. noriyuki@oita-u.ac.jp.

PubMed
概括

机器学习模型使用常规数据有效识别了阿尔茨海默病中的粉样β阳性. 这种方法有助于在临床前和临床前阶段的早期检测,以便及时干预.

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