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Discriminación
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An index for large areas called Area at Risk of Fire (SeR) was developed
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73401por Cai, Min, Dang, Ge, Su, Xiaolin, Zhu, Lin, Shi, Xue, Che, Sixuan, Lan, Xiaoyong, Luo, Xiaoguang, Guo, Yi“…Further analysis using logistic regression and receiver operating characteristic (ROC) curves found that this abnormal functional connectivity was an independent risk factor for cognitive impairment [odds ratio (OR): 2.949, 95% confidence interval (CI): 1.294–6.725, p = 0.01 for left PMFG; OR: 11.278, 95% CI: 2.578–49.335, p = 0.001 for right PMFG, per 0.1 U], and provided moderate classification power to discriminate between cognitive abilities in patients with PD [area under the ROC curve (AUC) = 0.770 for left PMFG; AUC = 0.809 for right PMFG]. …”
Publicado 2021
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73402“…With 20 dimensions and 49 characteristics, our taxonomy is particularly suitable to discriminate among patient portals and can easily be applied to compare portals. …”
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73403por Sonderegger, Franziska, Nentwig, Alice, Schweighauser, Ariane, Francey, Thierry, Marti, Eliane, Mirkovitch, Jelena, Schuller, Simone“…CONCLUSIONS: Soluble intercellular adhesion molecule 1, VEGF, and Ang‐2 do not discriminate leptospirosis from AKI‐nL. In dogs with leptospirosis, sICAM‐1 and VEGF predict outcome and sICAM‐1 might identify dogs at risk for LPHS.…”
Publicado 2021
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73404por Zyba, Sarah J, Weinborn, Valerie, Arnold, Charles D, Lehmkuhler, Arlie L, Morel, Fanny B, Zeilani, Mamane, Mitchell, Alyson E, Haskell, Marjorie J“…Urinary concentrations (μmol/L urine) of saccharin and trans-resveratrol-3-O-sulfate were plotted against time, and receiver operating characteristic (ROC) curves were used to determine the discriminative capacity of each compound, at each post-consumption time point compared with baseline, to detect recent consumption of SQ-LNS. …”
Publicado 2021
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73405por Papathomas, Thomas, Tzortzakakis, Antonios, Sun, Na, Erlmeier, Franziska, Feuchtinger, Annette, Trpkov, Kiril, Bazarova, Alina, Arvanitis, Alexandros, Wang, Wanzhong, Bozoky, Bela, Kokaraki, Georgia, Axelsson, Rimma, Walch, Axel“…Heatmap-based clustering, sparse partial least-squares discriminant analysis, and volcano plots were created with MetaboAnalyst 3.0. …”
Publicado 2020
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73406por Rogers, Angela J., Leligdowicz, Aleksandra, Contrepois, Kévin, Jauregui, Alejandra, Vessel, Kathryn, Deiss, Thomas J., Belzer, Annika, Liu, Tom, Lippi, Matthew, Ke, Serena, Ross, Erin, Zhou, Hanjing, Hendrickson, Carolyn, Gomez, Antonio, Sinha, Pratik, Kangelaris, Kirsten N., Liu, Kathleen D., Calfee, Carolyn S., Matthay, Michael A.“…Hierarchical clustering and partial least squares discriminant clustering were used to identify distinct clusters among patients with early sepsis and sepsis-associated acute respiratory distress syndrome. …”
Publicado 2021
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73407por Bharanidharan, Rajaraman, Lee, Chang Hyun, Thirugnanasambantham, Krishnaraj, Ibidhi, Ridha, Woo, Yang Won, Lee, Hong-Gu, Kim, Jong Geun, Kim, Kyoung Hoon“…A larger rumen acetate:propionate ratio was observed for the TMR than the SF diet (P < 0.05), and for Hanwoo than Holstein steers (P < 0.001), clearly reflecting a shift in the ruminal H(2) sink toward CH(4) production. The linear discriminant analysis (LDA) effect size (LEfSe) revealed a greater abundance (α < 0.05 and LDA > 2.0) of operational taxonomic units (OTUs) related to methanogenesis for Hanwoo steers compared to Holstein steers. …”
Publicado 2021
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73408“…Supervised machine learning algorithms on the original populations yielded comparable results for both neural network and logistic regression algorithms in terms of discriminant validity, with c‐indexes for incident adverse outcomes: heart failure (0.924, 95%CI 0.923‐0.925), stroke (0.871, 95%CI 0.869‐0.873), myocardial infarction (0.901, 95% CI 0.899‐0.903), major bleeding (0.700, 95%CI 0.697‐0.703), and cognitive impairment (0.919, 95% CI 0.9170.921). …”
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73409por Zhang, Kunpeng, Cai, Jiahao, Lu, Chunlai, Zhu, Qiaoliang, Zhan, Cheng, Shen, Yaxing, Gu, Jie, Ge, Di“…Cox regression analysis was used to determine the value of size to discriminate patients with prognostic differences and establish a predictive nomogram system. …”
Publicado 2021
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73410por Tang, Yiming, Zhang, Chi, Mo, Chengqiang, Gui, Chengpeng, Luo, Junhang, Wu, Rongpei“…The nomograms were generated using the predictors respectively and the discriminative ability of was assessed by analyses of receiver operating characteristic curves (ROC curves). …”
Publicado 2021
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73411por Siemert, Julia, Wald, Theresa, Kolb, Marlen, Pettinella, Isolde, Böhm, Ulrike, Pirlich, Markus, Wiegand, Susanne, Dietz, Andreas, Wichmann, Gunnar“…Kaplan–Meier plots demonstrated superiority of VEGF(Plasma) in discriminating patients regarding outcome. Patients with VEGF(Plasma) < 26 ng/L had superior nodal (NC), local (LC) and loco-regional control (LRC) leading to significant prolonged progression-free survival (PFS) and EFS. …”
Publicado 2021
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73412por Theakstone, Ashton G., Brennan, Paul M., Jenkinson, Michael D., Mills, Samantha J., Syed, Khaja, Rinaldi, Christopher, Xu, Yun, Goodacre, Royston, Butler, Holly J., Palmer, David S., Smith, Benjamin R., Baker, Matthew J.“…We have previously reported highly sensitive results of our approach which can discriminate patients with a recent brain tumour diagnosis and asymptomatic controls. …”
Publicado 2021
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73413por Kolchina, A.N., Yatsyshina, E.E., Malysheva, L.V., Ledentsova, E.E., Lidyaeva, E.E., Khaletskaya, O.V.“…In the course of the study, a diagnostic model was developed for predicting the risk of IMD development in a newborn at the onset of hyperammonemia. Through the discriminant analysis, a statistically significant relationship was established between the level of ammonia at the onset, blood glucose and base deficiency levels, blood lactate, hemoglobin, erythrocyte levels, the average volume of erythrocytes and the pH level (p=0.040) with the risk of IMD development. …”
Publicado 2021
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73414por Dong, Changlong, Rao, Nini, Du, Wenju, Gao, Fenglin, Lv, Xiaoqin, Wang, Guangbin, Zhang, Junpeng“…Four PmB-based classifiers without learning and with learning were designed to discriminate the sample types to confirm the reliability of PmBs identified by mRBioM. …”
Publicado 2021
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73415“…The clear gap is the small number of reviews focusing explicitly on either equity or programmes for disadvantaged groups and those who are discriminated against.…”
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73416por Castellani, Christoph, Obermüller, Beate, Kienesberger, Bernhard, Singer, Georg, Peterbauer, Clemens, Grabherr, Reingard, Mayrhofer, Sigrid, Klymiuk, Ingeborg, Horvath, Angela, Stadlbauer, Vanessa, Russmayer, Hannes, Miekisch, Wolfram, Fuchs, Patricia, Till, Holger, Heinl, Stefan“…Microbiome analysis showed no differences in alpha and beta diversity markers. Linear discriminant effect size (LEfSe) analysis identified Lachnospiraceae_bacterium_COE1 and Ruminoclostridium_5_uncultured_Clostridiales_ bacterium (in the reuterin medium group) and Desulfovibrio_uncultured_ bacterium, Candidatus Arthromitus, Ruminococcae_NK4A214_group, and Eubacterium_xylanophilum_group (in the reuterin group) as markers for group differentiation. …”
Publicado 2021
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73417por Rothé, Françoise, Lambertini, Matteo, Goldrat, Oranite, Maetens, Marion, Bareche, Yacine, Blanc, Jeremy, Rouas, Ghizlane, Larsimont, Denis, Sotiriou, Christos, Ignatiadis, Michail, Demeestere, Isabelle“…DNA extracted from whole blood samples was used to discriminate between somatic and germline mutations. …”
Publicado 2021
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73418por Zhang, Tingting, Liao, Qian, Zhang, Danmei, Zhang, Chao, Yan, Jing, Ngetich, Ronald, Zhang, Junjun, Jin, Zhenlan, Li, Ling“…Three feature selection methods [random subset feature selection algorithm (RSFS), minimal redundancy maximal relevance (mRMR), and sparse linear regression feature selection algorithm based on stationary selection (SS-LR)] were used respectively to select discriminative features in the iterative combinations of MRI and network measures. …”
Publicado 2021
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73419“…At the species level, on day 3, the relative abundance of Staphylococcus caprae in the study group was less than that in the control group. Linear discriminant analysis effect size showed that the microbiota of the study group mainly consisted of Lachnospiraceae and Clostridia on day 1 and Clostridia on day 3. …”
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73420por Wu, Xiang, Yao, Yuan, Dai, Yibin, Diao, Pengfei, Zhang, Yuchao, Zhang, Ping, Li, Sheng, Jiang, Hongbing, Cheng, Jie“…RESULTS: Diagnostic models developed by machine learning algorithms from 13 PIINPBs, which included counts of white blood cells (WBC), neutrophils (N), monocytes (M), lymphocytes (L), platelets (P), albumin (ALB), and hemoglobin (Hb), along with albumin-globulin ratio (A/G), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), systemic immune-inflammation index (SII), and prognostic nutritional index (PNI), displayed satisfactory discriminating capabilities in patients with or without OSCC, and among OSCC patients with diverse pathological grades and clinical stages. …”
Publicado 2021
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