Showing 56,141 - 56,160 results of 56,754 for search 'data developing analysis', query time: 0.49s Refine Results
  1. 56141

    Nomogram for predicting the severity of high-risk plaques in acute coronary syndrome by Miao-Na Bai, Miao-Na Bai, Miao-Na Bai, Ji-Xiang Wang, Ji-Xiang Wang, Xiao-Wei Li, Xiao-Wei Li, Xiao-Wei Li, Jing-Xian Wang, Jing-Xian Wang, Yu-Hang Wang, Yu-Hang Wang, Yin Liu, Yin Liu, Yin Liu, Jing Gao, Jing Gao, Jing Gao, Jing Gao

    Published 2025-06-01
    “…The calibration curve and decision curve analysis demonstrated the model's clinical usefulness.ConclusionA simple and practical nomogram for predicting HRPs accurately in patients with ACS was developed and validated, and is expected to help clinicians diagnose and prevent plaque stability.…”
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  2. 56142
  3. 56143
  4. 56144

    Enhanced machine learning models for predicting three-year mortality in Non-STEMI patients aged 75 and above by Jing Zhang, Wuyu Xiong, Chengzhi Zhang, Cuiyuan Huang, Wenqiang Li, Li Liu, Wei Wang, Ye Sang, Huiling Zhen, Caiwei Tan, Jiajuan Yang, Jian Yang

    Published 2025-07-01
    “…Methods Clinical data from 234 Non-STEMI patients aged 75 and above were collected and split into a training cohort (164 patients) and a validation cohort (70 patients) using a 70:30 ratio. …”
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  5. 56145

    Rheumatoid Arthritis Real-world Cohort Study in China (ReALSA): protocol for a multicentre prospective, longitudinal cohort study by Long Zhang, Ying Yang, Lie Dai, Yingying Zhu, Jian-Zi Lin, Ze-Hong Yang, Qian-Hua Li, Zhi-Ming Ouyang, Hai-Jun Liu, Yao-Wei Zou, Kui-Min Yang, Li-Juan Yang, Ying-Qian Mo, Jian-Da Ma

    Published 2025-07-01
    “…Therefore, the aim of this large-scale cohort study is to identify the development of clinical, biomedical, histopathological and imaging biomarkers for the diagnosis and prognosis of difficult-to-treat RA, and RA-related complications/comorbidities and to evaluate their impact on the prognosis of RA.Methods and analysis In this real-world multicentre prospective cohort, consecutive RA patients are planned to be recruited during 2024 and 2033 and with at least 5-year follow-up. …”
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  6. 56146
  7. 56147

    Machine Learning Model Based on Prognostic Nutritional Index for Predicting Long‐Term Outcomes in Patients With HCC Undergoing Ablation by Nan Zhang, Ke Lin, Bin Qiao, Liwei Yan, Dongdong Jin, Daopeng Yang, Yue Yang, Xiaohua Xie, Xiaoyan Xie, Bowen Zhuang

    Published 2024-10-01
    “…Methods From January 2009 to December 2019, we analyzed data from 848 primary HCC patients who underwent local ablation. …”
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  8. 56148

    Cluster randomised controlled trial of an online intervention to improve healthy food purchases from primary school canteens: a study protocol of the ‘click & crunch’ trial by Karen Campbell, Rachel Sutherland, Luke Wolfenden, Nicole Nathan, Sze Lin Yoong, Chris Rissel, Penny Reeves, Rebecca Wyse, Tessa Delaney, Pennie Gibbins, Kylie Ball, Kirsty Seward, Rachel Zoetemeyer, John Wiggers, Chris Oldmeadow, Kathryn Reilly

    Published 2019-09-01
    “…Introduction School canteens are the most frequently accessed take-away food outlet by Australian children. The rapid development of online lunch ordering systems for school canteens presents new opportunities to deliver novel public health nutrition interventions to school-aged children. …”
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  9. 56149

    Application of HRCT-based radiomics to predict interstitial lung disease for juvenile dermatomyositis by Lingke Liu, Minfei Hu, Yun Zhou, Fei Zheng, Xiaohui Ma, Li Yang, Yiping Xu, Liping Teng, Bin Hu, Meiping Lu, Xuefeng Xu

    Published 2025-08-01
    “…Methods We retrospectively analyzed clinical data of 56 children with JDM, and all participants gave written informed consent. …”
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  10. 56150

    Body composition and anthropometric parameters of premature infants with very low and extremely low body weight at full-term age (38-40 weeks post-conceptual age) by Evgeniia L. Pinaeva-Slysh, Vera A. Skvortsova, Tatyana E. Borovik, Milana A. Basargina, Elena P. Zimina, Olga L. Lukoyanova, Maria S. Illarionova, Nataliya A. Kharitonova

    Published 2024-03-01
    “…It included 70 premature babies (28 girls and 42 boys), born with a body weight of less than 1000 g (group 1, n = 40) and from 1000 to 1500 g (group 2, n = 30). Anthropometric data at birth and at the time of the study were assessed using international growth standards INTERGROWTH–21st. …”
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  11. 56151
  12. 56152

    Early prediction of sepsis associated encephalopathy in elderly ICU patients using machine learning models: a retrospective study based on the MIMIC-IV database by Yupeng Han, Xiyuan Xie, Jiapeng Qiu, Yijie Tang, Zhiwei Song, Wangyu Li, Xiaodan Wu, Xiaodan Wu

    Published 2025-04-01
    “…Due to the symptom similarity with other neurological disorders and the absence of specific biomarkers, early clinical diagnosis remains challenging. This study aimed to develop a predictive model for SAE in elderly ICU patients.MethodsThe data of elderly sepsis patients were extracted from the MIMIC IV database (version 3.1) and divided into training and test sets in a 7:3 ratio. …”
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  13. 56153

    Dietary antioxidants and flavonoids are inversely associated with prostate cancer risk and mortality: evidence from NHANES and machine learning by Yanyang Jin, Dong-shan Lv, Li-po Zhou, Li Xiao, Guang-quan Tong, Abdallah Karim, Shuai Xue, Hongyang Tian, Cheng-cai Wang, Kun Feng, Ding-ming Song, You-liang Guan

    Published 2025-07-01
    “…BackgroundOxidative stress and dietary micronutrient imbalances have been implicated in prostate cancer (PCa) development and progression. Although flavonoids and antioxidants show promise in experimental models, evidence from population-based studies remains limited.ObjectivesThis research aimed to investigate the relationship between the consumption of antioxidants and flavonoids in the diet and the risk and survival of PCa, as well as to assess the potential of machine learning models in identifying significant dietary factors.MethodsData from 2,629 male participants aged ≥40 years from National Health and Nutrition Examination Survey (NHANES) 2007–2010 were analyzed. …”
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  14. 56154
  15. 56155
  16. 56156

    Automatic diagnosis and measurement of intracranial aneurysms using deep learning in MRA raw images by Qingning Yang, Fengxi Chen, Li Li, Rong Zeng, Jiaqing Li, Jingxu Xu, Chencui Huang, Junbang Feng, Chuanming Li

    Published 2025-04-01
    “…A p-value of < 0.05 was considered statistically significant.ResultsThe fully automatic model processed the original MRA data in 13.6 s and provided real-time results, including IA diagnosis and size measurement. …”
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  17. 56157

    Clinical and Molecular Spectrum of Glutamate Dehydrogenase Gene Defects in 26 Chinese Congenital Hyperinsulinemia Patients by Chang Su, Xue-Jun Liang, Wen-Jing Li, Di Wu, Min Liu, Bing-Yan Cao, Jia-Jia Chen, Miao Qin, Xi Meng, Chun-Xiu Gong

    Published 2018-01-01
    “…Methods. The clinical data of glutamate dehydrogenase hyperinsulinism (GDH-HI) patients were reviewed, and gene mutations were confirmed by whole exome sequencing (WES) and Sanger DNA sequencing. …”
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  18. 56158
  19. 56159
  20. 56160

    Construction of high-density bin genetic map and QTL mapping of fruit aroma in longan (Dimocarpus longan Lour.) by Wenshun Hu, Qing Zhang, Chaojun Deng, Qizhi Xu, Jimou Jiang, Xiuping Chen, Jianguo Li, Jisen Zhang, Shaoquan Zheng

    Published 2025-08-01
    “…We obtained a total of 554.9 Gbp of sequencing data, with an average depth of approximately 15× for the parents and 12× for the progeny. …”
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