 Connection
Qiang Fu to ROC Curve
This is a "connection" page, showing publications Qiang Fu has written about ROC Curve.
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Connection Strength |
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0.125 |
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Wu H, Maimaiti A, Huang J, Xue J, Fu Q, Wang Z, Muertizha M, Li Y, Li D, Zhou Q, Wang Y. The establishment of machine learning prognostic prediction models for pineal region tumors based on SEER-A multicenter real-world study. Eur J Surg Oncol. 2025 Aug; 51(8):110058.
Score: 0.056
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Huang X, Sun L, Wen S, Deng D, Wan F, He X, Tian L, Liang L, Wei C, Gao K, Fu Q, Li Y, Jiang J, Zhai R, He M. RNA sequencing of plasma exosomes revealed novel functional long noncoding RNAs in hepatocellular carcinoma. Cancer Sci. 2020 Sep; 111(9):3338-3349.
Score: 0.040
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Chen R, Huang Y, Cai X, Xie L, He D, Zhou L, Xu C, Gao X, Ren S, Wang F, Ma L, Wei Q, Yin C, Tian Y, Sun Z, Fu Q, Ding Q, Zheng J, Ye Z, Ye D, Xu D, Hou J, Xu K, Yuan J, Gao X, Liu C, Pan T, Sun Y. Age-Specific Cutoff Value for the Application of Percent Free Prostate-Specific Antigen (PSA) in Chinese Men with Serum PSA Levels of 4.0-10.0 ng/ml. PLoS One. 2015; 10(6):e0130308.
Score: 0.029
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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