研究文章
帕金森综合征的鉴别诊断工具使用多个大脑结构的措施
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预测组成员 |
|
|
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MSA-C |
MSA-P |
PD |
控制 |
总 |
|
| 分段法(88.9%的原始分组情况下正确分类) |
|
| 原始数据 |
数 |
MSA-C |
15 |
0 |
0 |
3 |
18 |
| MSA-P |
0 |
9 |
3 |
0 |
12 |
| PD |
0 |
2 |
19 |
0 |
21 |
| 控制 |
0 |
0 |
0 |
21 |
21 |
| % |
MSA-C |
83.3 |
0 |
0 |
16.7 |
One hundred. |
| MSA-P |
0 |
75.0 |
25.0 |
0 |
One hundred. |
| PD |
0 |
9.5 |
90.5 |
0 |
One hundred. |
| 控制 |
0.0 |
0 |
0 |
100.0 |
One hundred. |
|
| 两个独立的变量(84.7%的原始分组情况下正确分类) |
|
| 原始数据 |
数 |
MSA-C |
15 |
0 |
0 |
3 |
18 |
| MSA-P |
0 |
10 |
2 |
0 |
12 |
| PD |
0 |
4 |
17 |
0 |
21 |
| 控制 |
1 |
1 |
0 |
19 |
21 |
| % |
MSA-C |
83.3 |
0.0 |
0 |
16.7 |
One hundred. |
| MSA-P |
0 |
83.3 |
16.7 |
0 |
One hundred. |
| PD |
0 |
19.0 |
81.0 |
0 |
One hundred. |
| 控制 |
4.8 |
4.8 |
0.0 |
90.5 |
One hundred. |
|
| 三个独立变量(88.9%的原始分组情况下正确分类) |
|
| 原始数据 |
数 |
MSA-C |
14 |
0 |
0 |
4 |
18 |
| MSA-P |
0 |
10 |
2 |
0 |
12 |
| PD |
0 |
1 |
20. |
0 |
21 |
| 控制 |
0 |
1 |
0 |
20. |
21 |
| % |
MSA-C |
77.8 |
0.0 |
0 |
22.2 |
One hundred. |
| MSA-P |
0 |
83.3 |
16.7 |
0 |
One hundred. |
| PD |
0 |
4.8 |
95.2 |
0 |
One hundred. |
| 控制 |
0.0 |
4.8 |
0.0 |
95.2 |
One hundred. |
|
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MSA-C:小脑形式的多系统萎缩;MSA-P:帕金森症形式的多系统萎缩;帕金森病:帕金森病。
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