Showing 13,161 - 13,180 results of 14,865 for search 'Operational data analysis', query time: 0.27s Refine Results
  1. 13161

    Diagnostic value of NLR and PLR for peritoneal dialysis-related infection by FANG Wei-wei, LIU Gui-ling, LI Qing-gen, ZHAO Wen-man, CHEN Xiao-li, LI Dan-dan

    Published 2020-01-01
    “…Objective To investigate the diagnostic and predictive value of peripheral blood neutrophil to lymphocyte ratio(NLR) and platelet to lymphocyte ratio(PLR) for peritoneal dialysis(PD)-related infection. Methods Clinical data of 71 PD patients complicated with PD related infections and 102 maintenance PD patient hospitalized in the same period were retrospectively analyzed for evaluation of peritoneal function and dialysis adequacy. …”
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  2. 13162
  3. 13163

    Development of a clinical-radiological nomogram for predicting severe postoperative peritumoral brain edema following intracranial meningioma resection by Chen Bo, Geng Ao, Lu Siyuan, Lu Siyuan, Wu Ting, Wang Dianjun, Zhao Nan, Shan Xiuhong, Deng Yan, Sun Eryi

    Published 2025-01-01
    “…Model performance was evaluated by calculating the area under the receiver operating characteristic curve (AUC) and conducting decision curve analysis (DCA). …”
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  4. 13164

    Association between various insulin resistance surrogates and gallstone disease based on national health and nutrition examination survey by Rui Gong, Yuchen Ding, Kaiqi Yang, Xiaodie Meng, Xiujing Sun

    Published 2025-07-01
    “…We conducted a cross-sectional analysis using data from the National Health and Nutrition Examination Survey 2017-March 2020. …”
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  5. 13165

    ANALYTICAL VALIDATION OF A 10-COLOR FLOW CYTOMETRY PANEL FOR ASSESSMENT OF MEASURABLE RESIDUAL DISEASE OF ACUTE MYELOID LEUKEMIA by AR Severino, CM Bertolucci, JFDS Tosi, MRV Ikoma-Colturato

    Published 2024-10-01
    “…Infinicyt (Cytognos™) software was used for data analysis. Statistical analysis: R software (v 4.1.2) and Excel were used for statistical analysis, considering a p value ≤ 0.05 as significant. …”
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  6. 13166

    Research progress of Ni-rich ternary cathode materials by Xueyi GUO, Haiyan CAI, Gaoqiang MAO, Wanjing YU, Hui TONG, Shuo YIN

    Published 2025-04-01
    “…Finally, the paper reviews future development directions for Ni-rich ternary cathode materials, including (1) the precise design and regulation of material structures at the molecular level to address material challenges from a molecular design perspective; (2) considering green and controllable synthesis and closed-loop recycling to achieve the high-value utilization of resources; (3) adopting non-destructive testing technologies to accurately analyze battery behaviors such as thermal runaway, structural degradation, and life cycle decay, to ensure the efficient operation and safety of the battery; and (4) utilizing artificial intelligence (AI) and big data analysis techniques to develop more accurate, comprehensive, and effective SOC/SOH (state of health) prediction models, which will enable the real-time assessment of the state and health of a battery. …”
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  7. 13167

    Prehospital triage of patients with suspected stroke symptoms (PRESTO): protocol of a prospective observational study by Hester F Lingsma, Aad van der Lugt, Diederik W J Dippel, Vicky Chalos, Esmee Venema, Martijne H C Duvekot, Anouk D Rozeman, Walid Moudrous, Frederique H Vermeij, Marileen Biekart, Henk Kerkhoff, Bob Roozenbeek, Cees L Alblas, Laus Jjm Mulder, Bruno JM van Moll, Lisette Maasland, Roeland PJ van Eijkelenburg, Frits GJ Weijschede, Bianca Buijck, Amber Hoek, Jeanette Bakker, Erick Oskam, Rezan Demir, Mandy MA van der Zon, Egon D Zwets, Mirjam Woudenberg, Anja Noordam-reijm, Timo Bevelander, Eveline JA Wiegers

    Published 2019-07-01
    “…Logistic regression analysis will be performed, and performance of the prehospital stroke scales will be expressed as sensitivity, specificity and area under the receiver operator curve.Ethics and dissemination The Institutional Review Board of the Erasmus MC University Medical Centre has reviewed the study protocol and confirmed that the Dutch Medical Research Involving Human Subjects Act (WMO) is not applicable. …”
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  8. 13168

    Natural killer cell as a potential predictive biomarker for early immune checkpoint inhibitor-associated cardiovascular adverse events: a retrospective cohort study by Yujuan Wu, Diansa Gao, Li Tan, Zhulu Chen, Chuan Zhang, Min Mao, Yuxi Zhu, Yuxi Zhu, Yuxi Zhu, Yue Liu, Zhong Zuo

    Published 2025-07-01
    “…Univariate and multivariate regression analyses were conducted to identify CVAEs risk factors. Receiver operating characteristic (ROC) curve analysis determined optimal cutoff values for potential biomarkers. …”
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  9. 13169
  10. 13170

    A score prediction model for predicting the heterogeneity symptom trajectories among lung cancer patients during perioperative period: a longitudinal observational study by Yong Yang, Xueqi Tian, Huiling Zhou, Yichao Wang, Yifeng Gu, Ao Qi, Decai Wang, Zhiying Wang, Yabin Gong, Lijing Jiao, Ling Xu

    Published 2025-12-01
    “…And the calibration curves demonstrated strong concordance between anticipated probability and actual data (mean absolute error: 0.033). Furthermore, the decision curve analysis (DCA) indicated higher net benefit than other four single factors. …”
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  11. 13171

    Construction and verification of a risk factor prediction model for neonatal severe pneumonia by Weihua Gong, Kaijie Gao, Jiajia Ni, Ying Shi, Zhiming Shan, Hongqi Sun, Shanshan Wang, Jiangtao Xu, Junmei Yang

    Published 2025-06-01
    “…Risk factors were identified using Least Absolute Selection and Shrinkage Operator (LASSO) regression and logistic regression analysis. …”
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  12. 13172
  13. 13173

    A Comparison of the Association of Fasting Plasma Glucose and HbA1c Levels with Diabetic Retinopathy in Japanese Men by Yumi Matsushita, Norio Takeda, Yosuke Nakamura, Natsuyo Yoshida-Hata, Shuichiro Yamamoto, Mitsuhiko Noda, Tetsuji Yokoyama, Tetsuya Mizoue, Toru Nakagawa

    Published 2020-01-01
    “…The odds ratios of retinopathy according to the eight groups of FPG and HbA1c were estimated using multiple logistic regression analysis adjusted for age. Receiver operator characteristic analysis was used to evaluate each value associated with the presence or absence of retinopathy. …”
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  14. 13174

    Sex-specific adverse effects of lipid accumulation products and cardiometabolic indices on the prevalence of gallstones: insights from the 2017–2020 national health and nutrition e... by Yangyang Zheng, Xiaoli Chen, Yunpeng Ge, Haowei Shi, Shiqi Guo, Wendan Tan, Jinghai Song

    Published 2025-07-01
    “…Weighted logistic regression, restricted cubic spline modeling, and subgroup analyses were employed to assess the relationship between LAP and CMI and gallstone disease, as well as to investigate potential sex-specific differences. An analysis of the receiver operating characteristic (ROC) curve was performed to assess the prediction accuracy of indices and to determine appropriate cutoff values. …”
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  15. 13175

    Risk factors for multidrug resistance in pulmonary tuberculosis patients with diabetes mellitus by Lianpeng Wu, Lianpeng Wu, Na Chen, Na Chen, Dandan Xia, Dandan Xia, Xiangao Jiang, Xiangao Jiang

    Published 2025-01-01
    “…Multivariate logistic regression analysis was used to identify independent risk factors for MDR, and receiver operating characteristic (ROC) curves were constructed to evaluate the predictive value of these factors.ResultsA total of 318 patients were analyzed, with 253 in the non-MDR group and 65 in the MDR group. …”
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  16. 13176

    Apolipoprotein and menopausal status are significant influencing factors for diabetic retinopathy in type II diabetes mellitus women by Xiaoting Pei, Xi Yao, Di Qi, Yingrui Yang, Shuoning Fan, Zhijie Li

    Published 2025-03-01
    “…Multilevel regression was used to explore the independent effect of apolipoproteins and interaction between apolipoproteins and menopausal status on DR and proliferative diabetic retinopathy (PDR). Receiver operating characteristic (ROC) analysis was performed to compare the fitting degree and predictive efficiency of different models. …”
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  17. 13177

    Complement pathway: Risk molecular pattern of cardiovascular diseases in patients with diabetic nephropathy by Liu JunFei, Qian XiaoPing, Wang TaoXia, Liu XiaoLi, Liu WeiGang, Wang LiJie, Zhang HuiFang, Han Li, Li GuiYing, Yu XiaoJuan

    Published 2025-01-01
    “…Methods: Patients diagnosed with DN from October 2022 to October 2023 were selected for cross-sectional study and divided into DN group (n=58) and DN/CVD group (n=40) based on the presence of CVD. Univariate analysis was conducted using clinical data, and statistically significant independent variables were analysed through multivariate Logistic regression to identify independent factors influencing CVD in DN patients. …”
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  18. 13178

    Fiber Bragg grating flexible sensor for deformation monitoring in steel structure engineering by Chenguang Huang, Hui Zong, Xuepeng Chen, Peng Luo, Zongli Luo, Haixing Luo, Xiang Wu, Jie Huang

    Published 2025-06-01
    “…The produced sensors were applied to deformation monitoring in steel structure engineering, and the wavelet analysis method was used to preprocess the sensor data. …”
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  19. 13179

    Relevance of superoxide dismutase type 1 to lipoid pneumonia: the first retrospective case-control study by Yinan Hu, Yanhong Ren, Yinzhen Han, Zhen Li, Weiqing Meng, Yuhui Qiang, Mengyuan Liu, Huaping Dai

    Published 2025-01-01
    “…Additionally, information on patients with URTI, bacterial and fungal pneumonia, COP, PAP, lung mucinous adenocarcinoma and pulmonary edema, was collected totaling 140 patients as control subjects. Receiver operating characteristic curve, machine learning (ML), regression and survival analyses were performed to analyze the data. …”
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  20. 13180

    Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

    Published 2024-11-01
    “…Firstly, the development of enhanced data fusion algorithms will facilitate improved integration of sensor information, leading to greater accuracy and robustness of the system. …”
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