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73461por Ryu, Jihan, Heisig, Stephen, McLaughlin, Caroline, Bortz, Rebeccah, Katz, Michael, Gu, Xiaosi“…Specifically, high-order linguistic features will be extracted through exploratory analysis of texts and interpreted for their power to discriminate alliance rated by patients. METHOD: Adult patients and therapists in outpatient clinic at various stages of relationship building and treatment goals consented to participate in the cross-sectional study approved by the Institutional Board Review. …”
Publicado 2021
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73462por Tomeva, Elena, Switzeny, Olivier J., Heitzinger, Clemens, Hippe, Berit, Haslberger, Alexander G.“…Androgen receptor p.H875Y mutation (AR) was detected for the first time in bladder, lung, stomach, ovarian, brain, and pancreas cancer, all together in 51.3% of all cancer samples and in none of the healthy controls. A discriminant function model, comprising cfDNA mutations (COSM10758, COSM18561), cfDNA methylation markers (MLH1, MDR1, GATA5, SFN) and miRNAs (miR-17-5p, miR-20a-5p, miR-21-5p, miR-26a-5p, miR-27a-3p, miR-29c-3p, miR-92a-3p, miR-101-3p, miR-133a-3p, miR-148b-3p, miR-155-5p, miR-195-5p) could further classify healthy and tumor samples with 95.4% accuracy, 97.9% sensitivity, 80% specificity. …”
Publicado 2022
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73463por Acharjee, Animesh, Hazeldine, Jon, Bazarova, Alina, Deenadayalu, Lavanya, Zhang, Jinkang, Bentley, Conor, Russ, Dominic, Lord, Janet M., Gkoutos, Georgios V., Young, Stephen P., Foster, Mark A.“…Combining metabolomic data with anatomical scoring systems allowed us to discriminate between these two groups with a greater degree of accuracy than that of either variable alone.…”
Publicado 2021
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73464por Morgan, Michael B., Ross, James, Ellwanger, Joseph, Phrommala, Rebecca Martin, Youngblood, Hannah, Qualley, Dominic, Williams, Jacob“…In summary, these eleven GOIs collectively generate unique transcriptional profiles capable of discriminating between the five chemical exposures used in this investigation. …”
Publicado 2022
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73465por Piri, Ruut, Yahya, Mohamed, Ivaska, Lauri, Toivonen, Laura, Lempainen, Johanna, Nuolivirta, Kirsi, Tripathi, Lav, Waris, Matti, Peltola, Ville“…In this diagnostic study of 265 children hospitalized because of an acute infection, blood MxA cutoff level of 256 μg/L discriminated between viral and bacterial infections with a sensitivity of 74% and specificity of 80%. …”
Publicado 2022
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73466por Foran, David J., Durbin, Eric B., Chen, Wenjin, Sadimin, Evita, Sharma, Ashish, Banerjee, Imon, Kurc, Tahsin, Li, Nan, Stroup, Antoinette M., Harris, Gerald, Gu, Annie, Schymura, Maria, Gupta, Rajarsi, Bremer, Erich, Balsamo, Joseph, DiPrima, Tammy, Wang, Feiqiao, Abousamra, Shahira, Samaras, Dimitris, Hands, Isaac, Ward, Kevin, Saltz, Joel H.“…CONCLUSION: To meet the challenges of this project, we established the analytic pipelines, methods, and workflows to support the expansion and management of a growing repository of high-quality digitized pathology and information-rich, population cohorts containing objective imaging and clinical attributes to facilitate studies that seek to discriminate among different subtypes of disease, stratify patient populations, and perform comparisons of tumor characteristics within and across patient cohorts. …”
Publicado 2022
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73467“…These findings probably help discriminate HCC patients pre-TACE who specially benefit from TACE regarding OR.…”
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73468por Fu, Zhenming, Zhang, Rui, Wang, Kun‐Hua, Cong, Ming‐Hua, Li, Tao, Weng, Min, Guo, Zeng‐Qing, Li, Zeng‐Ning, Li, Zhao‐Ping, Wang, Chang, Xu, Hong‐Xia, Song, Chun‐Hua, Zhuang, Cheng‐Le, Zhang, Qi, Li, Wei, Shi, Han‐Ping“…Neither the PG‐SGA nor the abridged PG‐SGA could discriminate the median overall survival differences between the well‐nourished and mildly malnourished groups. …”
Publicado 2021
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73469por Birnbaum, Michael L, Abrami, Avner, Heisig, Stephen, Ali, Asra, Arenare, Elizabeth, Agurto, Carla, Lu, Nathaniel, Kane, John M, Cecchi, Guillermo“…Lip corner–pulling muscle signal discriminated between diagnoses for both men (AUROC 0.61) and women (AUROC 0.62). …”
Publicado 2022
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73470por Shembrey, Carolyn, Smith, Jai, Grandin, Mélodie, Williams, Nathalia, Cho, Hyun-Jung, Mølck, Christina, Behrenbruch, Corina, Thomson, Benjamin NJ., Heriot, Alexander G., Merino, Delphine, Hollande, Frédéric“…By designing a novel panel of six fluorescent proteins, the maximum theoretical subpopulation resolution of 64 discriminable subpopulations was achieved, greatly improving throughput compared with previous studies. …”
Publicado 2022
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73471“…Among these genes, that encoding the serotonin receptor 2B (HTR2B) represents the most discriminant from this molecular signature, its aberrant expression being the hallmark of UM metastatic progression. …”
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73472por Lv, Shan, Song, Yu, Zhang, Fu-Liang, Yan, Xiu-Li, Chen, Jie, Gao, Liang, Guo, Zhen-Ni, Yang, Yi“…To construct the nomogram model, stepwise logistic regression analysis was applied to select the significant predictors of the outcome. The discriminative performance of the model was assessed by calculating the area under the receiver operating characteristic curve (AUC-ROC). …”
Publicado 2020
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73473“…CONCLUSION: All six questionnaires can discriminate between subjects with or without COPD. The LFQ performed particularly well. …”
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73474por Ferrannini, Ele, Manca, Maria Laura, Ferrannini, Giulia, Andreotti, Felicita, Andreini, Daniele, Latini, Roberto, Magnoni, Marco, Williams, Stephen A., Maseri, Attilio, Maggioni, Aldo P.“…Extending the analysis to the entire cohort, an additional 8 proteins were independently associated with CAD or RF; by logistic regression, the 12-protein panel alone discriminated the four groups with AUC(ROC)'s of 0.72–0.81 (overall p = 1.0e(−38)). …”
Publicado 2022
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73475por St-Pierre, J, Frolkis, A, Seow, C, Oshiomogho, J, Bindra, G, Heatherington, J, Kaplan, G G, Panaccione, R, Novak, K L, Nasser, Y, Jijon, H“…We hypothesized that features suggestive of IBD could be used to create discriminating prediction models between IBD and IBS. …”
Publicado 2022
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73476“…METHODS: In this cross-sectional observational study, 38 individuals within 2 years post-ACLR were grouped into HIGH-FEAR (n = 21, median 11.2 months post-surgery) or LOW-FEAR (n = 17, median 10.1 months post-surgery) based on a discriminating question (Q9; Tampa Scale of Kinesiophobia-17). …”
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73477por Sharma, Uttam, Barwal, Tushar Singh, Khandelwal, Akanksha, Rana, Manjit Kaur, Rana, Amrit Pal Singh, Singh, Karuna, Jain, Aklank“…Furthermore, we found LINC00324 and LOC100507053 could discriminate ESCC cancer patients’ from non-cancer individuals with higher accuracy of Area Under the ROC Curve (AUC) = 0.627 and 0.668, respectively. …”
Publicado 2022
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73478por Rebuzzi, Sara Elena, Cerbone, Luigi, Signori, Alessio, Santoni, Matteo, Murianni, Veronica, De Giorgi, Ugo, Procopio, Giuseppe, Porta, Camillo, Milella, Michele, Basso, Umberto, Massari, Francesco, Maruzzo, Marco, Iacovelli, Roberto, Battelli, Nicola, Carmisciano, Luca, Banna, Giuseppe Luigi, Buti, Sebastiano, Fornarini, Giuseppe“…The Meet-URO c-index score was 0.640, showing a higher discriminative ability than the IMDC score (c-index: 0.568). …”
Publicado 2022
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73479por Yang, Shu, Wu, Bing-Cheng, Cheng, Zhe, Li, Lan, Zhang, Yuan-Ping, Zhao, Hui, Zeng, Han-Mei, Qi, Dong-Fang, Ma, Zi-Yao, Li, Jian-Guo, Han, Rui, Qu, Fang-Zhou, Luo, Yan, Liu, Yi, Chen, Xiao-Lei, Dai, Hong-Mei“…Starting from the class level, significant differences in microbial communities were detected before and after eyelid cleaning (P < 0.05). Linear discriminant analysis effect size analysis showed the core flora in Group A microbiome comprising Actinobacteria, Staphylococcus, Staphylococcaceae, Staphylococcus aureus, Ruminococcacea UCg-014, Ruminococcacea-UCG-014, Halomonadaceae, Neisseria, Methylobacterium, Frankiales, and Neisseria sicca, while those in Group B microbial were Streptococcus sp., Blautia, Bifidobacterium pseudocatenulatum, Subdoligranulum, Subdoligranulum variabile, Faecalibacterium, and Faecalibacterium prausnitzii. …”
Publicado 2022
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73480por Wei, Heng-Le, Xu, Chen-Hui, Wang, Jin-Jin, Zhou, Gang-Ping, Guo, Xi, Chen, Yu-Chen, Yu, Yu-Sheng, He, Zhen-Zhen, Yin, Xindao, Li, Junrong, Zhang, Hong“…The MLR and SVM models discriminated clinical efficacy of NSAIDs with an area under the curve (AUC) of 0.891 and 0.896, sensitivity of 0.971 and 0.833, and specificity of 0.629 and 0.875, respectively. …”
Publicado 2022
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