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72481por Yin, Liang, Chu, Sen-Lin, Lv, Wei-Fu, Zhou, Chun-Ze, Liu, Kai-Cai, Zhu, Yi-Jiang, Zhang, Wen-Yue, Wang, Cui-Xia, Zhang, Yong-Hui, Lu, Dong, Cheng, De-Lei“…The area under curve (AUC) was used to evaluate the discriminative power of TPMT, PMA, and relevant clinical parameters. …”
Publicado 2023
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72482por Liu, Jianping, Cheng, Dongliang, Liao, Yuting, Luo, Chun, Lei, Qiucheng, Zhang, Xin, Wang, Luyi, Wen, Zhibo, Gao, Mingyong“…Radiomics is expected to enhance the discriminative performance for identifying HCC, but the current radiomics models are becoming increasingly complex, tedious, and difficult to integrate into clinical practice. …”
Publicado 2023
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72483por Zhao, Kaixuan, Li, Sheng, Liu, Yan, Li, Qiuling, Lin, Huan, Wu, Zhigang, Seeliger, Erdmann, Niendorf, Thoralf, Liu, Zaiyi, Wang, Wenjian“…RESULTS: ADC(cortex) presented superior performance in discriminating DKD with normal and declined estimated glomerular filtration rate (eGFR) over ADC(medulla), ΔADC and renal compartment volumes with an AUC of 0.904 (sensitivity of 83% and specificity of 91%) and was moderately correlated with the clinical biomarkers eGFR and proteinuria (P<0.05). …”
Publicado 2023
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72484por Cao, Yuntai, Wang, Zhan, Ren, Jialiang, Liu, Wencun, Da, Huiwen, Yang, Xiaotong, Bao, Haihua“…The NC, AP, VP, Radiomics and clinical models had encouraging discriminative performance. The clinical-radiomics combined model that combined radiomics signatures and clinical characteristics showed excellent performance, with an area under curve (AUC) values were 0.984 (95% CI 0.952–1.000) in the training cohort, 0.955 (95% CI 0.864–1.000) in the internal validation cohort and 0.871 (95% CI 0.710–1.000) in the external validation cohort. …”
Publicado 2023
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72485por Grassmann, Greta, Di Rienzo, Lorenzo, Gosti, Giorgio, Leonetti, Marco, Ruocco, Giancarlo, Miotto, Mattia, Milanetti, Edoardo“…Expanding the electrostatic potential on a basis of 2D orthogonal polynomials, we can discriminate between transient and permanent protein complexes with an AUC of the ROC of [Formula: see text] 0.8. …”
Publicado 2023
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72486por Chen, Rui, Ji, Lang, Ma, Lijuan, Chen, Yitong, Duan, Jiali, Ma, Mingjing, Sun, Ying, Tai, Jun, Meng, Linghui“…Area under the curves (AUCs) were used to compare discriminative capability among indicators. BMI was converted to BMI-z scores, and accuracy was compared by false-positive rate, false-negative rate, and total misclassification rate. …”
Publicado 2023
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72487por Zhang, Jiarui, Qin, Yichun, Zhou, Chen, Luo, Yuanming, Wei, Hailong, Ge, Huiqing, Liu, Hui-Guo, Zhang, Jianchu, Li, Xianhua, Pan, Pinhua, Yi, Mengqiu, Cheng, Lina, Liu, Liang, Aili, Adila, Peng, Lige, Liu, Yu, Pu, Jiaqi, Yi, Qun, Zhou, Haixia“…Receiver operating characteristic (ROC) was used to determine the level of BUN that discriminated survivors and non-survivors. Univariate and multivariate Cox proportional hazards regression analyses were performed to assess the impact of BUN on adverse outcomes. …”
Publicado 2023
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72488“…Lastly, an integrative analysis of the three datasets identified a series of molecular features (SNPs, gene transcripts, and proteins) that discriminated 21 out of 22 heifers correctly based on their fertility category. …”
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72489por Gálvez-Barrón, César, Pérez-López, Carlos, Villar-Álvarez, Felipe, Ribas, Jesús, Formiga, Francesc, Chivite, David, Boixeda, Ramón, Iborra, Cristian, Rodríguez-Molinero, Alejandro“…Age, sex and baseline disease did not provide greater discriminative power to the models. The techniques with S and E values above 80% were the logistic regression (S: 80.83%; E: 86.25%; A: 83.61%) and support vector machine (S: 81.67%; E: 85%; A: 82.78%) techniques. …”
Publicado 2023
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72490“…CONCLUSION: The STarT MSK has been successfully translated and adapted into Swedish and shows acceptable measurement properties regarding test–retest reliability and aspects of validity and seems to be able to discriminate between the proposed risk groups. The tool can therefore be useful in a Swedish primary health care context. …”
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72491“…The metrics used for the assessment tool should be able to discriminate between novices, intermediates, and experts and include essential checklist items for patient safety. …”
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72492por Hirai, Tomoya, Fujiyoshi, Kazuhiro, Yamada, Satoru, Matsumoto, Takuya, Kikuchi, Junko, Ishida, Kohki, Ishida, Miwa, Shigeta, Kyo, Tojo, Taiki“…In addition, receiver operating characteristic (ROC) curve analysis was used to calculate cutoff value for the AGEs score, which discriminates the occurrence of MACCE. Cox regression analysis was performed to identify the factors associated with the presence of MACCE. …”
Publicado 2023
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72493por Estades Ayuso, Virginia, Pickles, Sarah, Todd, Tiffany, Yue, Mei, Jansen-West, Karen, Song, Yuping, González Bejarano, Jesús, Rawlinson, Bailey, DeTure, Michael, Graff-Radford, Neill R., Boeve, Bradley F., Knopman, David S., Petersen, Ronald C., Dickson, Dennis W., Josephs, Keith A., Petrucelli, Leonard, Prudencio, Mercedes“…Further, cryptic RNAs efficiently discriminated AD-TDP cases from controls. CONCLUSIONS: Overall, our results indicate that cryptic RNAs may represent an intriguing new therapeutic and diagnostic target in AD, and that methods aimed at detecting and measuring these species in patient biofluids could be used as a reliable tool to assess TDP-43 pathology in AD. …”
Publicado 2023
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72494por Ascone, Leonie, Wirtz, Janina, Mellentin, Angelina Isabella, Kugler, Dimitrij, Bremer, Thomas, Schadow, Friedrich, Hoppe, Stine, Jebens, Charlotte, Kühn, Simone“…(II) The PC-based bias scores did not discriminate between AUD versus HC groups. (III) Grasping-condition 1 and 3 VR-based bias scores correlated significantly with impulsivity. …”
Publicado 2023
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72495por Voit, Florian, Erber, J., Feuerherd, M., Fries, H., Bitterlich, N., Diehl-Wiesenecker, E., Gladis, S., Lieb, J., Protzer, U., Schneider, J., Geisler, F., Somasundaram, R., Schmid, R. M., Bauer, W., Spinner, C. D.“…Modest values for the sensitivity (74%) and specificity (52%) were obtained using linear discriminant analysis. A systematic search for peaks led to a sensitivity of 77% and specificity of 67%; however, validation by transferability to other data is questionable. …”
Publicado 2023
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72496por Paulo, A. Cristina, Lança, João, Almeida, Sónia T., Hilty, Markus, Sá-Leão, Raquel“…RESULTS: Differential abundance analysis indicated that the microbiota of the oropharynx was significantly different from that of the nasopharynx (P < 0.001) and highly discriminated by a balance between the classes Negativicutes and Bacilli (AUC of 0.979). …”
Publicado 2023
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72497por Cai, Xunchao, Peng, Yao, Gong, Yajie, Huang, Xiuting, Liu, Lu, Chen, Yifan, Du, Jingfeng, Dai, Zhongming, Qian, Yun, Xu, Long“…Specifically, the abundance of Proteobacteria decreased greatly while that of Firmicutes and Bacteroidota increased greatly in the diseased groups when compared to that in HCs. Moreover, linear discriminant analysis identified several genera highly represented in the diseased groups. …”
Publicado 2023
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72498por Mora-Maltas, Bernat, Lucas, Ignacio, Granero, Roser, Vintró-Alcaraz, Cristina, Miranda-Olivos, Romina, Baenas, Isabel, Sánchez, Isabel, Jiménez-del Toro, Jessica, Sánchez-González, Jéssica, Krug, Isabel, Tapia, Javier, Jiménez-Murcia, Susana, Fernández-Aranda, Fernando“…METHODS: Participants were 161 patients diagnosed with an ED, who were categorized according to DSM-5 severity categories, DT and duration of illness. Discriminative capacity of each classification was assessed for cognitive flexibility measured by Wisconsin card sorting test (WCST). …”
Publicado 2023
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72499“…PCA of LCMS analysis demonstrated that PC1 discriminated two clusters: essential oil, dichloromethane, and n-hexane extracts were in the positive quadrant, while methanol and ethyl acetate extracts were in the negative quadrant. …”
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72500“…Furthermore, the diagnostic potential of these five GlnMgs in distinguishing individuals with OP yielded promising results, indicating their efficacy as discriminative markers for OP. CONCLUSIONS: This study discovered five GlnMgs that are linked to OP. …”
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