Predictors of Acquired Perforating Dermatosis in Uremic Patients on Hemodialysis: A Case-Control Study by Cheng-Hao Weng, Ching-Chih Hu, Shir-Hwa Ueng, Chun-Chen Yu, Chung-Yee Hui, Ja-Liang Lin, Chih-Wei Yang, Cheng-Chieh Hung, Ching-Wei Hsu, Tzung-Hai Yen

“…Patients on HD with APD were matched (1 : 2) for gender and age with controls on HD. Conditional logistic regression was used to identify factors associated with APD. …”
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Loan classification using a feed-forward neural network by U. I. Behunkou

“…However, the obtained most important values of Accuracy and measure are higher than those calculated using logistic regression [1].…”
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IFNβ drives ferroptosis through elevating TRIM22 and promotes the cytotoxicity of RSL3 by Huiyue Dong, Huiyue Dong, Ling Zhu, Ling Zhu, Jingjing Sun, Jingjing Sun, Qiuyan Chen, Qiuyan Chen, Pengyang Liu, Pengyang Liu, Wei Zhang, Huajing Zeng, Rong Lin, Rong Lin, Zongyang Yu, Zongyang Yu, Jun Lu, Jun Lu, Jun Lu, Jun Lu

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Analysis of Germination Curves of Cinchona officinalis L. (Rubiaceae) Using Sigmoidal Mathematical Models by Lenin Quiñones-Huatangari, Annick Estefany Huaccha-Castillo, Franklin Hitler Fernandez-Zarate, Eli Morales-Rojas, Jenny Del Milagro Marrufo-Jiménez, Leslie Lizbeth Mejía-Córdova

“…Gompertz sigmoidal, logistic, and von Bertalanffy models were used to analyse the germination curves of C. officinalis. …”
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Choice Behavior of the Elderly Regarding Street-Crossing Facility by Chong Wei, Xuedong Yan, Chunfu Shao, Jiang Sun, Lu Ma

“…An adaptive SP survey was designed to collect choice data from individuals aged 60 years or above, and a multilevel logistic model was developed to analyze the behavior data. …”
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Statistical analysis of congenital anomlies in children in Lithuania by Marijus Radavičius, Jurgis Sušinskas, Algirdas Utkus

“… Trends, prevalence and some influential (risk) factors of congenital anomlies in children in Lithuania are investigated using logistic regression model. …”
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Pratiques et lieux du e-commerce alimentaire by Nora Mareï, Anne Aguiléra, Leslie Belton-Chevallier, Corinne Blanquart, Saskia Seidel

“…In particular, the pick-up point has become a strong alternative to home delivery where logistical constraints make it a fragile and increasingly specific model. …”
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Comparison of long-term ankle joint function after one-stage and staged microsurgical repair of open achilles tendon defects by Jianjie Mao, Yang Xiang, Hui Chu, GenYang Jin, Guangyan Su, Chang zeng Liu, Feng Zhu

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A Comparison of Classification Algorithms for Predicting Dis-tinctive Characteristics in Fine Aroma Cocoa Flowers Using WE-KA Modeler by Daniel Tineo, Yuriko S. Murillo, Mercedes Marín, Darwin Gomez, Victor H. Taboada, Malluri Goñas, Lenin Quiñones Huatangari

“…Three attribute evaluators (InfoGainAttributeEval, CorrelationAttributeEval and GainRatioAttributeEval), and six algorithms (Naive Bayes, Multinomial Logistic Regression, J48, Random Forest, LTM and Simple Logistic) were employed in this study. …”
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Machine Learning Models of Acute Kidney Injury Prediction in Acute Pancreatitis Patients by Cheng Qu, Lin Gao, Xian-qiang Yu, Mei Wei, Guo-quan Fang, Jianing He, Long-xiang Cao, Lu Ke, Zhi-hui Tong, Wei-qin Li

“…The AUC of logistic regression analysis was 87.28%. Present findings suggest that compared to the classical logistic regression model, machine learning models using features that can be easily obtained at admission had a better performance in predicting AKI in the AP patients.…”
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Consumers’ perceptions, preferences and willingness to pay for infant meat puree in China by Xiaoling Yu, Kelin Liu, Yue Cui, Changming Ma, Chaozhi Zhu, Long Xu

“…Using three machine learning algorithms, including logistic regression, we identified key predictors of purchase willingness, with logistic regression demonstrating the best performance (AUC = 0.704). …”
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Prevalence, influencing factors, and prediction model construction of anemia in ankylosing spondylitis based on real-world data: An exploratory study. by Yifan Gong, Kun Yang, Zhaoyang Geng, Hongxiao Liu

“…The results of multivariate stepwise logistic regression analysis showed that female gender, underweight, ossification, abnormal CRP and ESR were independent risk factors for anemia in AS (P < 0.05). …”
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Association between Quantitative Classification of Renal Surface Nodularity and Early Renal Injury in Patients with Arterial Hypertension by Jun Zhou, Jiule Ding, Jie Chen, Qiong Wu, Dehui Xiang, Wei Xing

“…Univariate analysis and multiple logistic regression were used to assess the association between ERI and qRSN. …”
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Effectiveness of GnRH Antagonists and Agonists in Patients with Hormone-Sensitive Prostate Cancer: A Retrospective Study by Zhenghao Liu, Chunguang Yang, Xing Zeng, Chunjin Ke, Jihua Tian, Zhihua Wang, Zhiquan Hu

“…Further, univariate and multivariate logistic regressions were used to analyze the influencing factors of PSA control rate in HSPC patients. …”
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Accuracy Evaluation of Standardized Precipitation Index (SPI) Estimation under Conventional Assumption in Yeşilırmak, Kızılırmak, and Konya Closed Basins, Turkey by Mehmet Ali Hinis, Mehmet Selim Geyikli

“…This study is based on the effect of three different parameter estimation methods on the calculation process, as well as the comparison of the SPI results calculated based on the default Gamma distribution and the distribution with the best ability to represent the 3-and 12-month consecutive summed rainfall data among the 15 candidate distributions namely Gamma (GAM), Generalized Extreme Value (GEV), Pearson Type III (P III), Log Pearson Type III (LP III), two-parameter Lognormal (LN2), three-parameter Lognormal (LN3), Generalized Logistic (GLOG), Extreme Value Type I (EVI), Generalized Pareto (GPAR), Weilbul (W), Normal (N), Exponential (EXP), Logistic (LOG), four-parameter Wakeby (WK4), and five-parameter Wakeby (WK5) distributions. …”
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Factors determining the tendency of rural households in Central Pomerania to save – PILOT study results by Agnieszka Strzelecka, Danuta Zawadzka

“…The selection of independent variables for the logistic regression model was made on the basis of literature studies. …”
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Constructing Digitized Chaotic Time Series with a Guaranteed Enhanced Period by Chuanfu Wang, Qun Ding

“…We analyze the ways that perturbation sources are introduced in parameters and variables and prove that the period of digitized chaotic time series generated by a digitized logistic map is improved efficiently. Furthermore, experimental implementation shows that the digitized chaotic time series has great complexity, approximate entropy, and randomness, and the perturbed digitized logistic map can be used as a secure pseudorandom sequence generator for information encryption.…”
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Harnessing the potential of shared data in a secure, inclusive, and resilient manner via multi-key homomorphic encryption by David Ha Eun Kang, Duhyeong Kim, Yongsoo Song, Dongwon Lee, Hyesun Kwak, Brian W. Anthony

“…Grounded in statistical learning principles, we introduce the Multi-Key Homomorphic Encryption Logistic Regression (MK-HELR) algorithm, designed to execute logistic regression on encrypted multi-party data. …”
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A Prediction Model for Recognizing Strangulated Small Bowel Obstruction by Xiaming Huang, Guan Fang, Jie Lin, Keyu Xu, Hongqi Shi, Lei Zhuang

“…These clinical factors were analyzed using logistic regression. A logistic regression model was applied to identify determinant variables and construct a clinical score that would predict SSBO. …”
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Crude Oil Source Identification of Asphalt via ATR-FTIR Approach Combined with Multivariate Statistical Analysis by Ruibo Ren, Wenmiao Fan, Pinhui Zhao, Hao Zhou, Weikun Meng, Ping Ji

“…The result showed that the logistic regression model shows a favourable goodness of fit, with the prediction accuracy reaching 93.9% for the crude oil source of asphalt samples. …”
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