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Discriminación
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clasificación
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Academic performance
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African Americans
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An index for large areas called Area at Risk of Fire (SeR) was developed
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73301“…The purpose of this study was to evaluate the accuracy of PROMIS Physical Function (PF), Self-Efficacy for Managing Symptoms (SE), Pain Interference (PI), Fatigue, and Depression measures to discriminate patient acceptable symptom state (PASS) in primary care, determining if that accuracy is stable over time and/or retained when PROMIS score thresholds are set at either ½ or 1 SD worse than the reference population mean. …”
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73302por Wang, Mengjing, Sun, Xuehui, Ni, Li, Zhang, Minmin, Zhang, Jiaying, Ye, Guoxin, Jin, Li, Wang, Xiaofeng, Chen, Jing“…This study aimed to compare the predictive validity and discriminative ability of four GFR equations in relation to 2-year and 6-year mortality in exceptional longevity (EL) (those over 95 years old with intact health) individuals and is an ideal model to address factors relating to life span and age-related diseases. …”
Publicado 2020
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73303“…By using principal component analysis, we discriminated four agricultural exploitation systems (clusters). …”
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73304“…The Person Separation Index was 0.79, indicating that the scale’s ability to discriminate correctly between person leniency was acceptable for group comparisons but not for individual evaluations. …”
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73305por Kumar, Shailendra, Nodoushani, Ariana, Khanam, Farhana, DeCruz, Alyssa T., Lambotte, Paul, Scott, Robert, Bogoch, Isaac I., Vaidya, Krista, Calderwood, Stephen B., Bhuiyan, Taufiqur R., Esfandiari, Javan, Ryan, Edward T., Qadri, Firdausi, Andrews, Jason R., Charles, Richelle C.“…We have previously demonstrated that serum IgA responses targeting Salmonella enterica serovar Typhi hemolysin E (HlyE) and lipopolysaccharide (LPS) are able to discriminate patients with acute typhoid from healthy controls in areas where enteric fever is endemic (healthy endemic controls) and from patients with other bacterial infections. …”
Publicado 2020
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73306“…Several risk factors (heart failure hospitalization, cardiac magnetic resonance imaging indices, and serum concentration of systemic inflammation) can be clearly visualized as branch points of a decision tree to discriminate between low-, intermediate-, and high-risk patients. …”
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73307Publicado 2019“…RESULTS: Positive MRD samples were discriminated in 88.2% of the specimen evaluated through either abnormal plasma cells (aPCs) or clonal plasma cells (cPCs) by NGF antigens panel, Among of them, consistency was 94.7%. …”
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73308por Mamede, Sílvia, de Carvalho-Filho, Marco Antonio, de Faria, Rosa Malena Delbone, Franci, Daniel, Nunes, Maria do Patrocinio Tenorio, Ribeiro, Ligia Maria Cayres, Biegelmeyer, Julia, Zwaan, Laura, Schmidt, Henk G“…CONCLUSIONS: An intervention directed at increasing knowledge of clinical findings that discriminate between similar-looking diseases decreased physicians’ susceptibility to availability bias, reducing diagnostic errors, in a simulated setting. …”
Publicado 2020
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73309por Akino Mercy, Charles Solomon, Suriya Muthukumaran, Natarajaseenivasan, Velusamy, Prema, Bothammal, Palanisamy, Sumaiya, Krishnamoorthi, Saranya, Perumal, Langford, Dianne, Shanmughapriya, Santhanam, Natarajaseenivasan, Kalimuthusamy“…Identified miRNAs were able to discriminate the acute leptospiral infection from other febrile diseases with a test sensitivity and specificity of 93.2% and 88.19%, respectively. …”
Publicado 2020
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73310Publicado 2016“…CONCLUSION: IPSS, DIPSS, DIPSS plus, IPSS-Chinese and MYSEC-PM did not accurately discriminate different risk categories in post PV/ET MF patients. …”
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73311por Peran, Patrice, Malagurski, Briguitta, Nemmi, Federico, Sarton, Benjamine, Vinour, Hélène, Ferre, Fabrice, Bounes, Fanny, Rousset, David, Mrozeck, Segolène, Seguin, Thierry, Riu, Béatrice, Minville, Vincent, Geeraerts, Thomas, Lotterie, Jean Albert, Deboissezon, Xavier, Albucher, Jean François, Fourcade, Olivier, Olivot, Jean Marc, Naccache, Lionel, Silva, Stein“…The machine learning medial prefrontal cortex–posteromedial cortex multimodal classifier had a significant predictive value (area under the curve, 0.96; 95% CI, 0.95–0.97), best combination of subregions that discriminates a binary outcome based on Coma Recovery Scale-Revised). …”
Publicado 2020
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73312por Lewis, Jean M., Dhawan, Sanjay, Obirieze, Augustine C., Sarno, Benjamin, Akers, Johnny, Heller, Michael J., Chen, Clark C.“…In patients without abnormal head CT, Tau and GFAP levels discriminated between plasma from minor-TBI and non-TBI patients, with sensitivity and specificity of 64–72 and 50%, respectively. …”
Publicado 2020
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73313por Ferreira, Guilherme S., Veening-Griffioen, Désirée H., Boon, Wouter P. C., Moors, Ellen H. M., van Meer, Peter J. K.“…Second, we show an example of how systematic reviews and meta-analyses can provide another strategy to discriminate between disease models quantitatively. Third, we explore whether external validity is a factor in animal model selection in the Investigator’s Brochure (IB), and we use the IB-derisk tool to integrate preclinical pharmacokinetic and pharmacodynamic data in early clinical development. …”
Publicado 2020
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73314“…Moreover, in patients with iSD on CT, imPERCIST were able to discriminate those with longer survival. This advantage might allow for earlier therapy modification based on metabolic response.…”
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73315“…Furthermore, it was found that natural reaching trajectories for two different target objects (requiring two different grasp types) were distinct and also discriminable with high accuracy. In offline comparisons, LSTM (mean accuracies 99%) performed significantly better than DTW (mean accuracies 86 and 83%) for both arbitrary and natural reaching movements, respectively. …”
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73316por Saribas, Suat, Demiryas, Suleyman, Yilmaz, Erkan, Uysal, Omer, Kepil, Nuray, Demirci, Mehmet, Caliskan, Reyhan, Dinc, Harika Oyku, Akkus, Seher, Gareayaghi, Nesrin, Kirmusaoglu, Sahra, Ozbey, Dogukan, Tokman, Hrisi B, Koksal, Serdar S, Tasci, Ihsan, Kocazeybek, Bekir“…On the other hand, in a multivariate logistic regression with no discriminative criterion, HLA-DQA1*01 (OR = 1.848), HLA-DQB1*06 (OR = 1.821) and HLA-A*02 (OR = 1.579) alleles were detected as independent risk factors for GC and DU. …”
Publicado 2020
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73317“…In the ROC curves, nuclear NF-κB p65 expression had the discriminative ability for sensitivity to chemotherapy (AUC = 0.637, P = 0.021). …”
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73318por Pang, Yanbin, Shao, Hong, Yang, Ziheng, Fan, Lixia, Liu, Wenwen, Shi, Jianhong, Wang, Yuqing, Han, Ying, Yang, Lin“…Although NMLR was unable to discriminate prognosis in ISS stage I/II patients, interestingly, the addition of NMLR to the ISS further defined prognosis particularly in stage III. …”
Publicado 2020
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73319por Jiang, Yingying, Tie, Cai, Wang, Yang, Bian, Dandan, Liu, Mei, Wang, Ting, Ren, Yan, Liu, Shuang, Bai, Li, Chen, Yu, Duan, Zhongping, Zheng, Sujun, Zhang, Jinlan“…Sphingosine (d18:1)-1-P was found to have the potential to differentiate HCC from cirrhosis by orthogonal partial least squares discriminant analysis (OPLS-DA). There was no significant difference in the efficacy of Sphingosine (d18:1)-1-P and AFP to distinguish HCC from cirrhosis, and the area under the receiver operating curve (AUC) were 0.85 and 0.83 (P > 0.05), respectively. …”
Publicado 2020
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73320por Schmidt, Victor, Enav, Hagay, Spector, Timothy D., Youngblut, Nicholas D., Ley, Ruth E.“…LCT genotypes could not be discriminated based on relative abundances of Bifidobacterium species or Bifidobacterium community structure. …”
Publicado 2020
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