Showing 2,581 - 2,600 results of 2,744 for search 'Classification and regression three', query time: 0.18s Refine Results
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    Impact of Amerindian ancestry on clinical outcomes in Crohn’s disease and ulcerative colitis in a Latino population by Tamara Pérez-Jeldres, María Leonor Bustamante, Danilo Alvares, Manuel Alvarez-Lobos, Lajos Kalmer, Lorena Azocar, Roberto Segovia Melero, Gabriel Ascui, Nataly Aguilar, Ricardo Estela, Cristian Hernández-Rocha, Roberto Candia, Mauricio González, Verónica Silva, Andrés De La Vega, Elizabeth Arriagada, Carolina A. Serrano, Carolina Pávez-Ovalle, Carol Moraga Quinteros, Juan Francisco Miquel, Di Genova Alex

    Published 2025-05-01
    “…We used Chi-square and Fisher’s tests to analyze the relationship between phenotypes and ancestry proportions, calculating odds ratios (OR) and confidence intervals (CI). Logistic regression examined genetic variants associations with IBD outcomes, and classification models for predicting prolonged remission were developed using decision tree and random forest techniques. …”
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  3. 2583

    Estimation of the water content of needles under stress by Erannis jacobsoni Djak. via Sentinel-2 satellite remote sensing by Jiaze Guo, Xiaojun Huang, Xiaojun Huang, Xiaojun Huang, Debao Zhou, Junsheng Zhang, Gang Bao, Gang Bao, Siqin Tong, Siqin Tong, Yuhai Bao, Yuhai Bao, Dashzebeg Ganbat, Dorjsuren Altanchimeg, Davaadorj Enkhnasan, Mungunkhuyag Ariunaa

    Published 2025-04-01
    “…The accuracy of the method is verified by comparing the estimation results with field measurements, and the results are combined with the classifications of the leaf loss rate(LLR) to assess the severity of infestation.ResultsThe results indicate that: 1) When estimating LWCD and LWCF using the SVR and BP models, the SVR model demonstrated superior accuracy and stability (MAE for LWCF = 0.1477, RMSE = 0.17314; MAE for LWCD = 0.10507, RMSE = 0.14760). 2) The classification accuracies of LWCD and LWCF were notably higher in areas with light and medium damage, suggesting that these indices are effective indicators for assessing damage caused by Erannis jacobsoni Djak. and can serve as valuable tools for monitoring pest infestation and its progression. 3) Through precision evaluation and supplementary validation, the results show that LWCD is more stable and reliable than LWCF, demonstrating greater credibility, particularly in terms of MAE and RMSE, where LWCD exhibits lower values (MAE for LWCD = 0.10507, RMSE = 0.14760). …”
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    Measuring and estimation of suspended sediment variation using sediment rating curve approach in Mereg River by Sohila Aghabeigi Amin, Heidar Mirzaei

    Published 2017-08-01
    “…Measured floods have the peak flows from 1.38 to 49.40 m3/s covering a suitable range of low to high peak flows in this river. …”
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  6. 2586

    Critical predictors of heart transplant necessity in children with advanced DCM by Zubo Wu, Jiawei Shi, Hui Huang, Jie Liu, Qing Guo, Nianguo Dong, Jing Zhang, Wangzi Li, Lin Wang, Hua Peng

    Published 2025-08-01
    “…A univariate logistic regression analysis demonstrated that NYHA score [aOR (95%CI) = 2.78 (1.06–7.27), p = 0.037], Ascites [aOR (95%CI) = 12.93 (2.45–68.22), p = 0.003], and Left ventricular noncompaction [aOR (95%CI) = 3.73 (1.01–13.86), p = 0.048] were all significantly correlated with the Transplantation group. …”
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  7. 2587

    Joint analysis of single-cell RNA sequencing and bulk transcriptome reveals the heterogeneity of the urea cycle of astrocytes in glioblastoma by Minfeng Tong, Qi Tu, Lude Wang, Huahui Chen, Xing Wan, Zhijian Xu

    Published 2025-05-01
    “…The GSE138794 dataset was used to validate the results of single-cell classification. For bulk RNA-seq, univariate Cox and LASSO analyses were undertaken to screen prognostic genes, while multivariate Cox regression analysis was applied to set up a prognostic model. …”
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  8. 2588

    Associations between measures of network centrality and Johne's disease among dairy herds in Ontario, Canada by J. Reilly Comper, Karen J. Hand, Zvonimir Poljak, David Kelton, Amy L. Greer

    Published 2025-05-01
    “…However, herd size, region of herd, and previous high-risk JD classification were all positively associated with being classified as high-risk for JD. …”
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  9. 2589

    Association between low-density lipoprotein cholesterol levels and all-cause mortality in patients with coronary artery disease: a real-world analysis using data from an internatio... by Thiago Luis Scudeler, Leandro Menezes Alves da Costa, Rafael Amorim Belo Nunes, Rafael Otto Schneidewind, Thiago Midlej Brito, Daniel Castanho Genta Pereira, Roger Pereira de Oliveira, Gabriela Chaves Santana, Helio Castello, Marcelo José de Carvalho Cantarelli, Álvaro Avezum Junior

    Published 2024-11-01
    “…CAD patients were identified using the International Classification of Diseases, Tenth Revision (ICD-10) diagnosis code and stratified into six LDL-C categories: <50 mg/dL (cohort 1), 50–69.9 mg/dL (cohort 2), 70–99.9 mg/dL (cohort 3), 100–129.9 mg/dL (cohort 4), 130–159.9 mg/dL (cohort 5), and ≥ 160 mg/dL (cohort 6). …”
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  10. 2590

    Factors Influencing the Response of Patients with Infantile Epileptic Spasms Syndrome to ACTH as Repeated First-Line Therapy by Wenrong Ge, Ping Pang, Ziyan Zhang, Lin Wan, Guang Yang

    Published 2025-03-01
    “…A multifactorial regression model indicated that older age at first seizure and a short-term response to initial first-line treatment were associated with a higher likelihood of obtaining an initial response in the subsequent ACTH treatment (odds ratio [OR] 2.69, 95% confidence interval [CI] 1.39, 7.23, p = 0.014 and OR 5.41, 95% CI 1.48, 23.90, p = 0.016, respectively). …”
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    The immune-related prognostic gene AIM2 promotes pancreatic cancer progression via inflammasome by Lin Liang, Yanhong Zhou, Yang Zhang, Shuangyan Ou, Zhijun Yuan, Hong Yi, Xia Yuan

    Published 2025-08-01
    “…Nine gene prognostic features were identified as the optimal IRGPs, which include six high-risk genes and three low-risk genes. Principal Component Analysis (PCA) demonstrated that this feature can effectively distinguish between high-risk and low-risk groups. …”
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