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An index for large areas called Area at Risk of Fire (SeR) was developed
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74161por Taghizadeh, Eskandar, Heydarheydari, Sahel, Saberi, Alihossein, JafarpoorNesheli, Shabnam, Rezaeijo, Seyed Masoud“…Three groups of machine learning (ML) algorithms were employed: (i) four feature selection procedures are employed and compared to select the most valuable feature: (1) ANOVA; (2) Mutual Information; (3) Extra Trees Classifier; and (4) Logistic Regression (LGR), (ii) a feature extraction algorithm (Principal Component Analysis), iii) we utilized 13 classification algorithms accompanied with automated ML hyperparameter tuning, including (1) LGR; (2) Support Vector Machine; (3) Bagging; (4) Gaussian Naive Bayes; (5) Decision Tree; (6) Gradient Boosting Decision Tree; (7) K Nearest Neighborhood; (8) Bernoulli Naive Bayes; (9) Random Forest; (10) AdaBoost, (11) ExtraTrees; (12) Linear Discriminant Analysis; and (13) Multilayer Perceptron (MLP). …”
Publicado 2022
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74162por Huang, Chun-Yang, Zhang, Hai-Ping, Han, Wei-Jia, Zhao, Dan-Tong, Liao, Hui-Yu, Ma, Yin-Xue, Xu, Bin, Li, Li-Juan, Han, Ying, Liu, Xiu-Hong, Wang, Qi, Lou, Jin-Li, Zhang, Xiao-Dan, Zhao, Juan, Li, Wen-Juan, Liu, Yan-Min, Yan, Hui-Ping“…Of the top 10 microbial genera, Lachnospiraceae_incertae_sedis was higher in the FHRAC-positive patients than in the FHRAC-negative patients (P<0.05). linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed different microbes at different levels in the FHRAC-negative patients but not in the FHRAC-positive patients. …”
Publicado 2022
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74163por Li, Liqiang, Guo, Xiang, Zhang, Xiaoqing, Zhao, Lingzhai, Li, Li, Wang, Yuji, Xie, Tian, Yin, Qingqing, Jing, Qinlong, Hu, Tian, Li, Ziyao, Wu, Rangke, Zhao, Wei, Xin, Sherman Xuegang, Shi, Benyun, Liu, Jiming, Xia, Shang, Peng, Zhiqiang, Yang, Zhicong, Zhang, Fuchun, Chen, Xiao-Guang, Zhou, Xiaohong“…RESULTS: The defined framework was discriminated with three hierarchical layers of genotype, subgenotype and clade with respective mean pairwise distances 2–6%, 0.8–2%, and ≤ 0.8%. …”
Publicado 2022
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74164por Hernandez, Matthew M., Banu, Radhika, Shrestha, Paras, Gonzalez-Reiche, Ana S., van de Guchte, Adriana, Farrugia, Keith, Sebra, Robert, Gitman, Melissa R., Nowak, Michael D., Cordon-Cardo, Carlos, Simon, Viviana, van Bakel, Harm, Sordillo, Emilia Mia, Luna, Nicolas, Ramirez, Angie, Castañeda, Sergio Andres, Patiño, Luz Helena, Ballesteros, Nathalia, Muñoz, Marina, Ramírez, Juan David, Paniz-Mondolfi, Alberto E.“…Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants are characterized by differences in transmissibility and response to therapeutics. Therefore, discriminating among them is vital for surveillance, infection prevention, and patient care. …”
Publicado 2022
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74165por Dubinsky, Marla C., Shan, Mingyang, Delbecque, Laure, Lissoos, Trevor, Hunter, Theresa, Harding, Gale, Stassek, Larissa, Andrae, David, Lewis, James D.“…Correlations were weak for Geboes score and weak to moderate for modified Mayo endoscopic subscore and modified Mayo rectal bleeding, indicating that the Urgency NRS also had discriminant validity. Patients achieving clinical remission, clinical response, IBDQ remission, and PGRS score improvement showed significantly greater improvement on the Urgency NRS (p < 0.0001 for all), demonstrating responsiveness to change. …”
Publicado 2022
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74166por Zhang, Qiang, Burrage, Matthew K., Shanmuganathan, Mayooran, Gonzales, Ricardo A., Lukaschuk, Elena, Thomas, Katharine E., Mills, Rebecca, Leal Pelado, Joana, Nikolaidou, Chrysovalantou, Popescu, Iulia A., Lee, Yung P., Zhang, Xinheng, Dharmakumar, Rohan, Myerson, Saul G., Rider, Oliver, Channon, Keith M., Neubauer, Stefan, Piechnik, Stefan K., Ferreira, Vanessa M.“…The VNE generator was trained using generative adversarial networks, using 2 adversarial discriminators to improve the image quality. The left ventricle was contoured semiautomatically. …”
Publicado 2022
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74167por Kaida, Hayato, Yasuda, Takushi, Shiraishi, Osamu, Kato, Hiroaki, Kimura, Yutaka, Hanaoka, Kohei, Yamada, Minoru, Matsukubo, Yuko, Tsurusaki, Masakatsu, Kitajima, Kazuhiro, Hattori, Satoshi, Ishii, Kazunari“…RESULTS: The optimal cut-off value of TMTV for discriminating relapse from non-relapse was 3.82. The patients with a TMTV ≥3.82 showed significantly worse prognoses than those with low values (p < 0.001). …”
Publicado 2022
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74168por Gerwing, Mirjam, Hoffmann, Emily, Kronenberg, Katharina, Hansen, Uwe, Masthoff, Max, Helfen, Anne, Geyer, Christiane, Wachsmuth, Lydia, Höltke, Carsten, Maus, Bastian, Hoerr, Verena, Krähling, Tobias, Hiddeßen, Lena, Heindel, Walter, Karst, Uwe, Kimm, Melanie A., Schinner, Regina, Eisenblätter, Michel, Faber, Cornelius, Wildgruber, Moritz“…Principal component analysis (PCA) discriminated well between the two tumor models. CONCLUSIONS: Multiparametric MRI as presented in this study enables for the estimation of malignant potential in the two studied tumor models via the assessment of certain tumor features over time.…”
Publicado 2022
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74169por Anichini, Andrea, Molla, Alessandra, Nicolini, Gabriella, Perotti, Valentina Eleonora, Sgambelluri, Francesco, Covre, Alessia, Fazio, Carolina, Lofiego, Maria Fortunata, Di Giacomo, Anna Maria, Coral, Sandra, Manca, Antonella, Sini, Maria Cristina, Pisano, Marina, Noviello, Teresa, Caruso, Francesca, Brich, Silvia, Pruneri, Giancarlo, Maurichi, Andrea, Santinami, Mario, Ceccarelli, Michele, Palmieri, Giuseppe, Maio, Michele, Mortarini, Roberta“…Activation of guadecitabine-specific UR signature molecules in on-treatment tumor biopsies discriminated responding from non-responding NIBIT-M4 patients. …”
Publicado 2022
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74170por Li, Jingwen, Liang, Penghui, Zhao, Tianyu, Guo, Gengchen, Zhu, Jinyue, Wen, Congying, Zeng, Jingbin“…Finally, this approach was able to discriminate between positive, negative, and weakly positive samples when detecting 107 clinical serum samples. …”
Publicado 2022
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74171por Puig-Jové, Carlos, Julve, Josep, Castelblanco, Esmeralda, Julián, M Teresa, Amigó, Núria, Andersen, Henrik U, Ahluwalia, Tarunveer S, Rossing, Peter, Mauricio, Dídac, Jensen, Magnus T, Alonso, Núria“…The supervised classification model identified a specific pattern associated with myocardial dysfunction, with a capacity to discriminate patients with myocardial dysfunction from controls. …”
Publicado 2022
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74172por Łaniewski, Paweł, Cui, Haiyan, Mahnert, Nichole D., Mourad, Jamal, Borst, Matthew P., Willmott, Lyndsay, Chase, Dana M., Roe, Denise J., Herbst-Kralovetz, Melissa M.“…Several proteins in CVL samples (e.g., an immune checkpoint protein, TIM-3, growth factors, VEGF, TGF-α, and an anti-inflammatory cytokine, IL-10) discriminated EC from benign conditions, particularly, when tested in combinations with CA19–9, CA125, eotaxin, G-CSF, IL-6, MCP-1, MDC, MCP-3 and TRAIL (sensitivity of 86.1% and specificity of 87.9%). …”
Publicado 2022
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74173por Xu, Yonghui, Zhu, Sha, Song, Hao, Lian, Xiaoyuan, Zeng, Maoni, He, Ji, Shu, Lijuan, Xue, XingSheng, Xiao, Fei“…It will be a valuable tool for discriminating severe maternal morbidity and ultimately improve maternal health. …”
Publicado 2022
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74174por Ng, Kenney, Anand, Vibha, Stavropoulos, Harry, Veijola, Riitta, Toppari, Jorma, Maziarz, Marlena, Lundgren, Markus, Waugh, Kathy, Frohnert, Brigitte I., Martin, Frank, Lou, Olivia, Hagopian, William, Achenbach, Peter“…Diabetes prediction models using multivariate logistic regression with inverse probability censored weighting (IPCW) were trained using 10-fold cross-validation. Discriminative power for disease was estimated using the IPCW concordance index (C index) with 95% CI estimated via bootstrap. …”
Publicado 2022
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74175por Lemieux, William, Fleischer, David, Yang, Archer Yi, Niemann, Matthias, Oualkacha, Karim, Klement, William, Richard, Lucie, Polychronakos, Constantin, Liwski, Robert, Claas, Frans, Gebel, Howard M., Keown, Paul A., Lewin, Antoine, Sapir-Pichhadze, Ruth“…Multivariable Accelerated Failure Time (AFT) models assessed the association between each TcEMM and DCGF. To discriminate between TcEMMs most predictive of DCGF, we fit multivariable Lasso penalized regression models. …”
Publicado 2022
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74176“…Receiver Operating Characteristic (ROC) curves were used to compare FI, FRAX and the combination FI + FRAX as instruments for risk prediction. Discriminative ability was estimated by comparing Area Under the Curve (AUC). …”
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74177por Bissong, Marie Ebob Agbortabot, Lyombe, Johnny Castro Nganjo, Asongalem, Emmanuel, Ngamsha, Robert Bongji, Tendongfor, Nicholas“…MATERIALS AND METHODS: Using the exponential discriminative snowball technique, a community-based cross-sectional study involving poultry farmers was carried out in the Buea Health District from April to July 2021. …”
Publicado 2022
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74178por Linguanti, Flavia, Abenavoli, Elisabetta M., Briganti, Vittorio, Danti, Ginevra, Lavacchi, Daniele, Matteini, Maria, Vaggelli, Luca, Novelli, Luca, Grosso, Anna M., Mungai, Francesco, Mini, Enrico, Antonuzzo, Lorenzo, Miele, Vittorio, Sciagrà, Roberto, Berti, Valentina“…At PET/CT, metabolic activity was measured using SUVmax and SUVratio; volumetric parameters included MTV and TLG of the primary tumor, measured using the threshold SUV41%. ROC analysis, discriminant analysis and Kaplan–Meier curves (KM) were performed. …”
Publicado 2022
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74179por Shao, Congxiang, Xu, Lishu, Lei, Pingguang, Wang, Wei, Feng, Shiting, Ye, Junzhao, Zhong, Bihui“…Fifty-six metabolites were statistically significant for discriminating the six groups. Among the top 10 metabolites related to CAS in nonobese MAFLD, only phosphatidylethanolamine (PE 20:2/16:0), phosphatidylglycerol (PG 18:0/20:4) and de novo lipogenesis (16:0/18:2n-6) achieved significant areas under the ROC curve (AUCs, 0.67, p = 0.03; 0.79, p = 0.02; 0.63, p = 0.03, respectively). …”
Publicado 2023
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74180por Iachkine, Jeanne, Buetti, Niccolò, de Grooth, Harm-Jan, Briant, Anaïs R., Mimoz, Olivier, Mégarbane, Bruno, Mira, Jean-Paul, Valette, Xavier, Daubin, Cédric, du Cheyron, Damien, Mermel, Leonard A., Timsit, Jean-François, Parienti, Jean-Jacques“…CONCLUSION: The CVC-IN score, which can be used for the first catheter, had a modest ability to discriminate required catheter dwell time. Nevertheless, preference of the subclavian site may contribute to limit the risk of intravascular complications, in particular among ventilated patients with high CVC-IN score. …”
Publicado 2023
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