Showing 4,401 - 4,420 results of 5,311 for search '30 Under 30', query time: 0.09s Refine Results
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    Clinical validation and optimization of machine learning models for early prediction of sepsis by Xi Liu, Meiyi Li, Xu Liu, Yuting Luo, Dong Yang, Hui Ouyang, Jiaoling He, Jinyu Xia, Fei Xiao, Fei Xiao, Fei Xiao

    Published 2025-02-01
    “…We evaluated the performance of the five ML models and the evaluation metrics were: area under the ROC curve (AUC), accuracy, F1-score, sensitivity and specificity. …”
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    Combined morphology and radiomics of intravoxel incoherent movement as a predictive model for the pathologic complete response before neoadjuvant chemotherapy in patients with brea... by Yunyan Zheng, Hui Zhang, Huijian Chen, Yang Song, Ping Lu, Mingping Ma, Mengbo Lin, Muzhen He

    Published 2025-02-01
    “…BackgroundTo develop a predictive model using baseline imaging of morphology and radiomics derived from intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) to determine the pathologic complete response (pCR) to neoadjuvant chemotherapy (NACT) in breast cancer patients.MethodsA total of 265 patients who underwent 3.0 T MRI scans before NACT were examined. Among them, 113 female patients with stage II–III breast cancer were included. …”
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  17. 4417

    No rumen fermentation profiles and associated microbial diversities difference were found between Hu sheep and Karakul sheep fed a cottonseed hull diet by Jishu Wang, Guangxu E, Meng Zhang, Yanlong Zhang, Tiantian Bai, XuanXuan Pu, Junfeng Liu, Xuefeng Guo, Subir Sarker, Long Cheng

    Published 2025-01-01
    “…Abstract Background This research aimed to investigate differences in rumen fermentation characteristics between Karakul sheep and Hu sheep reared under identical conditions. The test subjects included newborn Hu and Karakul sheep, which were monitored across three stages: stage I (Weaning period: 15 ~ 30 days), stage II (Supplementary feeding period: 31 ~ 90 days), and stage III (Complete feeding period: 91 ~ 150 days). …”
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    Prediction of Preterm Birth by Maternal Characteristics and Medical History in the Brazilian Population by Enio Luis Damaso, Daniel Lober Rolnik, Ricardo de Carvalho Cavalli, Silvana Maria Quintana, Geraldo Duarte, Fabricio da Silva Costa, Alessandra Marcolin

    Published 2019-01-01
    “…Significant prediction of PTB <34 weeks of gestation was provided by the FMF algorithm (area under the ROC curve 0.67, 95% CI 0.56–0.78, p=0.005), but the detection rates for fixed false-positive rates of 10% and 20% were poor (26.1% and 34.8%, respectively). …”
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