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74621por Caminiti, Silvia Paola, Sala, Arianna, Iaccarino, Leonardo, Beretta, Luca, Pilotto, Andrea, Gianolli, Luigi, Iannaccone, Sandro, Magnani, Giuseppe, Padovani, Alessandro, Ferini-Strambi, Luigi, Perani, Daniela“…Finally, [18F]FDG-PET hypometabolism maps yielded extremely high discriminative power, distinguishing DLB from ADD and PD conditions with an accuracy of > 90%. …”
Publicado 2019
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74622por Praet, Jelle, Manyakov, Nikolay V., Muchene, Leacky, Mai, Zhenhua, Terzopoulos, Vasilis, de Backer, Steve, Torremans, An, Guns, Pieter-Jan, Van De Casteele, Tom, Bottelbergs, Astrid, Van Broeck, Bianca, Sijbers, Jan, Smeets, Dirk, Shkedy, Ziv, Bijnens, Luc, Pemberton, Darrel J., Schmidt, Mark E., Van der Linden, Annemie, Verhoye, Marleen“…Additionally, fractional anisotropy (FA) was decreased in APP/PS1 mice at these respective ages. Linear discriminant analysis of the motor cortex data indicated that combining diffusion tensor and diffusion kurtosis metrics permits improved separation of WT from APP/PS1 mice compared with either diffusion tensor or diffusion kurtosis metrics alone. …”
Publicado 2018
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74623“…Restriction analysis of PCR-amplified ribosomal DNA with four discriminant enzymes (MseI, AvaII, HincII, and MunI) and hyphal interactions with known tester strains confirmed these isolates belong to AG-3-PT (64.2%), AG-2-1 (14.2%), AG-2-2 (9.5%), AG-5 (7.1%) and AG-4-HGI (4.7%). …”
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74624“…We find that a variety of responses can be seen in ramp stimuli, making this a basis for discriminating between even similar circuits. We also find that a number of circuits adapt exactly to ramp stimuli, and dissect these circuits to pinpoint what characteristics (architecture, feedback, biochemical aspects, information processing ingredients) allow for this. …”
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74625por Grewal, Jasleen K., Tessier-Cloutier, Basile, Jones, Martin, Gakkhar, Sitanshu, Ma, Yussanne, Moore, Richard, Mungall, Andrew J., Zhao, Yongjun, Taylor, Michael D., Gelmon, Karen, Lim, Howard, Renouf, Daniel, Laskin, Janessa, Marra, Marco, Yip, Stephen, Jones, Steven J. M.“…CONCLUSIONS AND RELEVANCE: These results suggest that machine learning approaches incorporating multiple tumor profiles can more accurately identify the cancerous state and discriminate it from normal cells. SCOPE uses the whole transcriptomes from normal and tumor tissues, and results of this study suggest that it performs well for rare cancer types, primary cancers, treatment-resistant metastatic cancers, and cancers of unknown primary of origin. …”
Publicado 2019
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74626por da Costa, Alexandre A. B. A., do Canto, Luisa M., Larsen, Simon Jonas, Ribeiro, Adriana Regina Gonçalves, Stecca, Carlos Eduardo, Petersen, Annabeth Høgh, Aagaard, Mads M., de Brot, Louise, Baumbach, Jan, Baiocchi, Glauco, Achatz, Maria Isabel, Rogatto, Silvia Regina“…Despite the small number of patients tested, CCNE1 gain and RB1 loss discriminate patients with tumors extremely sensitive to platinum retreatment. …”
Publicado 2019
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74627por Tarca, Adi L., Romero, Roberto, Benshalom-Tirosh, Neta, Than, Nandor Gabor, Gudicha, Dereje W., Done, Bogdan, Pacora, Percy, Chaiworapongsa, Tinnakorn, Panaitescu, Bogdan, Tirosh, Dan, Gomez-Lopez, Nardhy, Draghici, Sorin, Hassan, Sonia S., Erez, Offer“…After data transformation into multiples of the mean values for gestational age, parsimonious linear discriminant analysis risk models were fit for each gestational-age interval (8–16, 16.1–22, 22.1–28, 28.1–32 weeks). …”
Publicado 2019
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74628por Hathaway, Quincy A., Roth, Skyler M., Pinti, Mark V., Sprando, Daniel C., Kunovac, Amina, Durr, Andrya J., Cook, Chris C., Fink, Garrett K., Cheuvront, Tristen B., Grossman, Jasmine H., Aljahli, Ghadah A., Taylor, Andrew D., Giromini, Andrew P., Allen, Jessica L., Hollander, John M.“…Findings were validated through Logistic Regression (LR), Linear Discriminant Analysis (LDA), Gaussian Naïve Bayes (NB), Support Vector Machine (SVM), and Classification and Regression Tree (CART) models with tenfold cross validation. …”
Publicado 2019
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74629por Ramalho, Sergio H. R., Santos, Mario, Claggett, Brian, Matsushita, Kunihiro, Kitzman, Dalane W., Loehr, Laura, Solomon, Scott D., Skali, Hicham, Shah, Amil M.“…When accounting for other relevant organ systems, cardiovascular function poorly discriminated those with vs those without dyspnea. Therefore, dyspnea should not be assumed to represent occult HF in this population.…”
Publicado 2019
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74630por Allison, Samantha L., Koscik, Rebecca L., Cary, Robert P., Jonaitis, Erin M., Rowley, Howard A., Chin, Nathaniel A., Zetterberg, Henrik, Blennow, Kaj, Carlsson, Cynthia M., Asthana, Sanjay, Bendlin, Barbara B., Johnson, Sterling C.“…RESULTS: The three MRI-based metrics and CSF NfL similarly discriminated between the A-T- CU (n = 20) and A+ AD (n = 20) groups (AUCs ≥0.885; ps < 0.001). …”
Publicado 2019
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74631por Park, Hee Sun, Choe, Won Hyeok, Han, Hye Seung, Yu, Mi Hye, Kim, Young Jun, Jung, Sung Il, Kim, Jeong Han, Kwon, So Young“…MRE significantly discriminated F2 from F0/1 (P = 0.022), whereas 2D-SWE showed a broad overlap in distinguishing those stages. …”
Publicado 2019
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74632por Zhang, Yaqin, Zhao, Xiaotong, Deng, Lili, Li, Xueting, Wang, Ganbiao, Li, Yongxing, Chen, Mingwei“…Multivariate logistic regression analysis showed that FABP4 and FABP6 were independent risk factors for CRC (adjusted odds ratio 1.916; 95%CI 1.340–2.492; P < 0.001; adjusted odds ratio 2.162; 95%CI 1.046, 1.078); P < 0.001, respectively). In discriminating CRC from the normal control, the optimal sensitivity of FABP4 and FABP6 were 93.20% (95%CI 87.8–96.7) and 83.70% (95%CI 76.7–89.3), respectively, while the optimal specificity of FABP4 and FABP6 were 48.8% (95%CI 39.8–57.9) and 58.4% (95%CI 49.2–67.1), respectively. …”
Publicado 2019
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74633por Liang, Jianwen, Li, Yan, Chen, Long, Xia, Wenhao, Wu, Guifu, Tong, Xinzhu, Su, Chen, He, Jiang, Lin, Xiufang, Tao, Jun“…SCD correlated positively with RCD but negatively with R-NPA [(RCD: OR = 0.40, 95% CI 0.25–0.67, P < 0.01); (R-NPA: OR = 0.39, 95% CI − 0.0029 to 0.0011, P < 0.01)]. The discriminative powers of RCD performed best (AUC 0.79 versus SCD AUC 0.59, P < 0.001) followed by R-NPA (AUC 0.73 versus SCD AUC 0.59, P < 0.001) for systolic blood pressure. …”
Publicado 2019
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74634por Song, Jian, Chen, Xue, Jiang, Yuhong, Mi, Jing, Zhang, Yuyuan, Zhao, Yingying, Wu, Xuesen, Gao, Huaiquan“…In addition, it was indicated by the ROC curve analysis that LAP showed a better performance in discriminating IFG risk than BMI in both males (Z = 2.20, P = 0.028) and females (Z = 2.13, P = 0.033). …”
Publicado 2019
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74635“…Drone noise at specific altitudes was recorded with a sound meter close to the colony to discriminate visual from auditory effects of the drone. …”
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74636por Shin, Kabsoo, Park, Se Jun, Lee, Jinsoo, Park, Cho Hyun, Song, Kyo Young, Lee, Han Hong, Seo, Ho Seok, Jung, Yoon Ju, Park, Jae Myung, Lee, Sung Hak, Roh, Sang Young, Kim, In-Ho“…LNR > 0.25, N3 stage and stage IIIC were the discriminant factors for selecting XELOX over S-1. TRIAL REGISTRATION: Not applicable (retrospective study).…”
Publicado 2019
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74637por van Zantvoort, Antonia P.M., Hundscheid, Henricus P.H., de Bruijn, Johan A., Hoogeveen, Adwin R., Teijink, Joep A.W., Scheltinga, Marc R.M.“…PURPOSE: To determine the existence of isolated lat-CECS and study whether history taking and a physical examination aid in discriminating between different subtypes of CECS. STUDY DESIGN: Case series; Level of evidence, 4. …”
Publicado 2019
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74638por Herdman, Michael, Kerr, Cicely, Pavesi, Marco, Garside, Jamie, Lloyd, Andrew, Cubi-Molla, Patricia, Devlin, Nancy“…However, when assessing known groups’ validity, FACT-8D failed to discriminate between patients categorised by health status on four of the seven variables analysed. …”
Publicado 2020
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74639por Schweitzer, Wolf, Ruder, Thomas, Baumeister, Rilana, Bolliger, Stephan, Thali, Michael, Meixner, Eva, Ampanozi, Garyfalia“…He had been found dead at home, a day after his nasopharyngeal swab had returned positive for SARS-COV-2, three days after the sample had been taken as an outpatient, over five weeks after first exhibiting possible symptoms. 3D-visualization was performed by visually discriminating correlates for aerated, poorly aerated and non-aerated lung regions. …”
Publicado 2020
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74640por Roberts, Kari, Choi, Sang Hee K, Frank, Ethan, Foulad, David, Mirshahidi, Saeid, Perez, Mia C, Simental, Alfred A, Khan, Salma“…Our published data on Enigma protein analysis with immunohistochemistry showed promising results in discriminating between malignant versus benign thyroid nodules and demonstrated a correlation with thyroid cancer staging [3]. …”
Publicado 2020
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