A CECT-Based Radiomics Nomogram Predicts the Overall Survival of Patients with Hepatocellular Carcinoma After Surgical Resection by Peng Zhang, Yue Shi, Maoting Zhou, Qi Mao, Yunyun Tao, Lin Yang, Xiaoming Zhang

“…LASSO Cox regression analysis was employed for dimensionality reduction and feature selection, culminating in the construction of a radiomic signature (Radscore). …”
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Comparison of different neurite density metrics with brain asymmetry evaluation by Ivan I. Maximov, Lars T. Westlye

“…In the present study, we estimated AWF metrics using different diffusion approaches and compared measures of brain asymmetry between the different metrics in a sub-sample of 182 subjects from the UK Biobank. Multivariate decomposition by mean of linked independent component analysis revealed that the various AWF proxies derived from the different diffusion approaches reflect partly non-overlapping variance of independent components, with distinct anatomical distributions and sensitivity to age. …”
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Effect of Diagnostic Curettage on the Outcome of Medical Treatment for Tubal Pregnancy by Lisha Yang, Xuanyin Wang, Jiahan Qiu, Cheng Zeng

“…Methods: A retrospective cohort study was conducted to analyze the clinical data of patients with tubal pregnancies who were hospitalized at the First Affiliated Hospital of Guangzhou University of Chinese Medicine, from 2017 to 2021. Univariate analysis and multivariate logistic regression were used to adjust for confounding factors. …”
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Predicting Axillary Metastasis of Breast Cancer Patients with MRI Relaxometry by Roxana Pintican, Radu Fechete, Delia Ioana Radutiu, Manuela Lenghel, Ioana Bene, Carolina Solomon, Cristiana Ciortea, Anca Ciurea

“…Statistical analyses included ROC curves, chi-square tests, and multivariate analysis to determine correlations between imaging findings and pathological results. …”
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A model of malignant risk prediction for solitary pulmonary nodules on 18F‐FDG PET/CT: Building and estimating by MingMing Yu, ZhenGuang Wang, GuangJie Yang, Yuan Cheng

“…Risk factors were screened by multivariate nonconditional logistic regression analysis. …”
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A Comparison of Feature-Based MLR and PLS Regression Techniques for the Prediction of Three Soil Constituents in a Degraded South African Ecosystem by Anita Bayer, Martin Bachmann, Andreas Müller, Hermann Kaufmann

“…Two approaches for the quantification of soil organic carbon, iron oxides, and clay content based on field and laboratory spectroscopy of natural surfaces are tested. (1) A physical approach which is based on spectral absorption feature analysis is applied. For every soil constituent, a set of diagnostic spectral features is selected and linked with chemical reference data by multiple linear regression (MLR) techniques. (2) Partial least squares regression (PLS) as an exclusively statistical multivariate method is applied for comparison. …”
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Thyroidectomy in children and adolescents: distinguishing benign from malignant thyroid nodules by Mário Sérgio Rocha Macedo, Jônatas Catunda de Freitas, Débora Cabral Coutinho, Carina Marques Barroso, Sandra Regina Geroldo, Rhuce Pedrosa Carvalho, Letícia Siqueira Monte Alverne, Tamyres Ferreira Campos, Lívia Rolim Fernades Macedo, José Huygens Parente Garcia, Wellington Alves Filho

“…On multivariate analysis, only age under 10 years (OR = 5.69; p = 0.028) and the presence of microcalcifications (OR = 28.44 and p = 0.002) were significantly associated with malignancy. …”
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Assessment of disordered eating attitudes and associated factors among female undergraduates at Arba Minch University, Southern Ethiopia by Addisalem Damtie Aserese, Melkamu Merid, Asmare Getie, Yosef Belayhun

“…Data were collected using a self-administered questionnaire, entered into Epi-Info version 7, and exported to SPSS version 20 for analysis. Multivariable binary logistic regression was used to identify factors associated with disordered eating attitudes, with variables having p-values <0.05 considered statistically significant. …”
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Construction of risk prediction model of sentinel lymph node metastasis in breast cancer patients based on machine learning algorithm by Qianmei Yang, Cuifang Liu, Yongyue Wang, Guifang Dong, Jinghuan Sun

“…Results Combined univariate and multivariate logistic regression analysis, identified Multifocal, LVI, Maximum Diameter, Shape US, Maximum Cortical Thickness as significant predictors. …”
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The Role of Muscle Density in Predicting the Amputation Risk in Peripheral Arterial Disease: A Tissue Composition Study Using Lower Extremity CT Angiography by Yueh-Hung Lin, Pei-Shan Tsai, Chung-Lieh Hung, Mirza Faisal Beg, Hung-I Yeh, Chun-Ho Yun, Ming-Ting Wu

“…These findings highlight the prognostic value of muscle quality and support the integration of advanced imaging techniques, such as automated CTA-based body composition analysis, for risk stratification in PAD patients.…”
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Cardiovascular Risk Factors as Independent Predictors of Diabetic Retinopathy in Type II Diabetes Mellitus: The Development of a Predictive Model by Cristian Dan Roşu, Melania Lavinia Bratu, Emil Robert Stoicescu, Roxana Iacob, Ovidiu Alin Hațegan, Laura Andreea Ghenciu, Sorin Lucian Bolintineanu

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The adverse effects of metabolic disorder on left ventricular myocardial mechano-energetic efficiency and dysfunction in ischemic cardiomyopathy: insight from a cardiac MRI study by Li Jiang, Yuan Li, Xue-Ming Li, Ke Shi, Han Fang, Wei‑Feng Yan, Ying‑Kun Guo, Hua‑Yan Xu, Zhi-Gang Yang

“…The clinical variables and MRI-derived parameters were measured and compared among the three groups. Multivariate linear regression analysis was performed to determine independent correlation of MetF on LV MEEi and strain in ICM patients. …”
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The Relationship of Clinical and Laboratory Factors with Acute Isolated Vertigo and Cerebellar Infarction by Cihan Bedel, Mustafa Korkut

“…There was no statistically significant difference between the two groups except for hyperlipidemia (67.6% in the cerebellar group, 35.7% in the noncerebellar group; P = 0.005). The multivariate logistic regression analysis revealed that hyperlipidemia (odds ratio [OR] = 3.233; 95% confidence interval [CI] = 1.144–9.136; P = 0.027) and imbalance (OR = 4.064; 95% CI = 1.271–12.995; P = 0.018) were the strongest indicators of cerebellar infarction in the patients with isolated vertigo. …”
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The clinical impact of cerebellar grey matter pathology in multiple sclerosis. by Alfredo Damasceno, Benito Pereira Damasceno, Fernando Cendes

“…<h4>Results</h4>After multivariate analysis high burden of cerebellar intracortical lesions was the only predictor for the EDSS (p<0.001), cerebellar FS (p = 0.002), arm function (p = 0.049), and for leg function (p<0.001). …”
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The urea-creatinine ratio on the seventh day predicts the short-term prognosis of spontaneous intracerebral hemorrhage: a retrospective study by Xingguo Wu, Ningxiang Qin, Yiqi Zhang, Fahang Yi, Xi Peng, Liang Wang

“…Demographic characteristics, imaging findings, and laboratory parameters were collected. …”
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Changes in serum NO, ET-1, and VEGF after cannulated screw fixation in patients with femoral neck fractures and their relationship with femoral head necrosis by Ziqiang Li, Huanxi Wang, Tingwei Cao, Kewei Du

“…The predictive value of NO, ET-1, and VEGF was evaluated using receiver operating characteristic curve analysis. The odds ratio (OR) for the risk factors of FHN was analyzed using multivariate logistic analysis.ResultThe serum levels of NO and VEGF decreased post-surgery in patients with FNF, with a more pronounced decrease in those who subsequently developed FHN, whereas patients who did not develop FHN showed no significant changes in these levels. …”
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Total posterior quadrant disconnection for drug‐resistant epilepsy in children by Hao Yu, Chang Liu, Yu Sun, Yao Wang, Qingzhu Liu, Taoyun Ji, Shuang Wang, Xiaoyan Liu, Yuwu Jiang, Ye Wu, Lixin Cai

“…In multivariate analysis, interictal EEG and APOS were identified as predictors of seizure prognosis. …”
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Clinical features and prognostic risk factors of different sex with acute exacerbations of chronic obstructive pulmonary disease by Yun-Xia Yu, Jing-Jing Feng, Meng Zhang, Tian-yun Shi, Jin-dong Shi, Yong Du, Jun-qing Li, Zhi-Jun Jie

“…The patients were followed up for 30 days, 90 days, 180 days after the discharge from the hospital, all these differences were not statistically significant in hospital readmissions and mortality (P > 0.05). The multivariate analysis incorporated seven factors according to the results of the univariate regression analysis. …”
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Diagnostic value of neutrophil to lymphocyte ratio and serum biomarkers in chronic osteomyelitis by Wenhui Zhao, Dongxiang Xu, Yanbin Dong, Wanwen Feng

“…Inflammatory marker levels (NLR, CRP, TNF-α, and IL-6) were significantly elevated in COM patients, with higher levels in Gram-negative infections. Multivariate logistic regression analysis and ROC curve analysis demonstrated that these inflammatory markers were significant predictors of COM, and the combination of these biomarkers showed superior diagnostic performance. …”
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Healthcare professionals’ knowledge, attitudes, and practices towards predictive diagnosis of early neurological deterioration by Xin Xia, Feng Li, Binbin Yuan, Zhengxie Dong, Yihuan Chen, Ya Zhang, Zixuan Wang, Xinxin Huang, Qing Zhu

“…Multivariate logistic regression analysis revealed independent associations between poor knowledge and lack of professional title, other positions, and working in the ICU. …”
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