Id |
Subject |
Object |
Predicate |
Lexical cue |
T217 |
0-121 |
Sentence |
denotes |
A strong correlation was observed between the lesion areas detected by the proposed framework and the clinical indicators |
T218 |
122-273 |
Sentence |
denotes |
In clinical practice, multiple clinical indicators are analyzed to determine whether further examinations (i.e., medical image examination) are needed. |
T219 |
274-349 |
Sentence |
denotes |
These indicators can be used to assess the predictive ability of the model. |
T220 |
350-451 |
Sentence |
denotes |
In addition, various examinations are required to perform an accurate diagnosis in clinical practice. |
T221 |
452-542 |
Sentence |
denotes |
However, the correlations between the results of various examinations are often not clear. |
T222 |
543-862 |
Sentence |
denotes |
We used the stage II sub-framework and the regressor block of the CNNRF to conduct a correlation analysis between the lesion areas detected by the framework and five clinical indicators (white blood cell count, neutrophil percentage, lymphocyte percentage, procalcitonin, C-reactive protein) of COVID-19 using the CADS. |
T223 |
863-1056 |
Sentence |
denotes |
The inputs of the CNNRF were the lesion area images of each case, and the output was a 5-dimensional vector describing the correlation between the lesion areas and the five clinical indicators. |
T224 |
1057-1121 |
Sentence |
denotes |
The MAE, MSE, RMSE, r, and R2 were used to evaluate the results. |
T225 |
1122-1269 |
Sentence |
denotes |
The ST and the Pearson correlation coefficient (PCC)43 were used to determine the correlation between the lesion areas and the clinical indicators. |
T226 |
1270-1381 |
Sentence |
denotes |
A strong correlation was obtained, with MSE = 0.0163, MAE = 0.0941, RMSE = 0.1172, r = 0.8274, and R2 = 0.6465. |
T227 |
1382-1475 |
Sentence |
denotes |
At a significance level of 0.001, the value of r was 1.27 times the critical value of 0.6524. |
T228 |
1476-1586 |
Sentence |
denotes |
This result indicates a high and significant correlation between the lesion areas and the clinical indicators. |
T229 |
1587-1658 |
Sentence |
denotes |
The PCC was 0.8274 (range of 0.8–1.0), indicating a strong correlation. |
T230 |
1659-1722 |
Sentence |
denotes |
The CNNRF was trained on the CATS and evaluated using the CAVS. |
T231 |
1723-1840 |
Sentence |
denotes |
The initial learning rate was 0.01, and the optimization function was the stochastic gradient descent (SGD) method44. |
T232 |
1841-1927 |
Sentence |
denotes |
The parameters of the CNNRF were initialized using the Xavier initialization method45. |