Showing 13,941 - 13,960 results of 15,418 for search '"learning"', query time: 0.10s Refine Results
  1. 13941
  2. 13942

    HPGCN: A graph convolutional network-based prediction model for herbal heat/cold properties by Qikai Niu, Jing’ai Wang, Hongtao Li, Lin Tong, Haiyu Xu, Weina Zhang, Ziling Zeng, Sihong Liu, Wenjing Zong, Siqi Zhang, Siwei Tian, Huamin Zhang, Bing Li

    Published 2025-03-01
    “…Compared to previous machine learning algorithms, the HPGCN obtained optimal classification prediction results for ACC, Recall, Precision, F1, and AUC indicators by 5-fold cross-validation on the training and test sets. …”
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  3. 13943

    Decoding the m6A epitranscriptomic landscape for biotechnological applications using a direct RNA sequencing approach by Chuwei Liu, Heng Liang, Arabella H. Wan, Min Xiao, Lei Sun, Yiling Yu, Shijia Yan, Yuan Deng, Ruonian Liu, Juan Fang, Zhi Wang, Weiling He, Guohui Wan

    Published 2025-01-01
    “…Here, we introduce pum6a, an innovative attention-based framework that integrates positive and unlabeled multi-instance learning (MIL) to address the challenges of incomplete labeling and missing read-level annotations. …”
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    Article
  4. 13944

    Lipids as key biomarkers in unravelling the pathophysiology of obesity-related metabolic dysregulation by Anis Adibah Osman, Siok-Fong Chin, Lay-Kek Teh, Noraidatulakma Abdullah, Nor Azian Abdul Murad, Rahman Jamal

    Published 2025-02-01
    “…The predictive model underwent evaluation across four machine learning algorithms consistently demonstrated the highest predictive accuracy of 0.821, aligning with the findings from the classical logistic regression statistical model. …”
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  5. 13945
  6. 13946

    Sequence of episodic memory-related behavioral and brain-imaging abnormalities in type 2 diabetes by Bo Hu, Ying Yu, Xin-Wen Yu, Min-Hua Ni, Yan-Yan Cui, Xin-Yu Cao, Ai-Li Yang, Yu-Xin Jin, Sheng-Ru Liang, Si-Ning Li, Pan Dai, Ke Wu, Lin-Feng Yan, Bin Gao, Guang-Bin Cui

    Published 2025-02-01
    “…The California Verbal Learning Test, Montreal cognitive assessment, and Stroop color word test was used to assess the episodic memory, general cognitive function, and executive function. …”
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    Article
  7. 13947
  8. 13948

    Association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional study by Jinhao Liao, Linjie Wang, Lian Duan, Fengying Gong, Huijuan Zhu, Hui Pan, Hongbo Yang

    Published 2025-01-01
    “…Methods 10,690 respondents with diabetes and prediabetes from the NHANES 1999–2016 were enrolled in the study. Three machine learning methods (SVM-RFE, XGBoost, and Boruta algorithms) were employed to select the most critical variables. …”
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  9. 13949

    Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.) by Zhu Yang, Zhu Yang, Wenjie Kan, Wenjie Kan, Ziqi Wang, Caiguo Tang, Yuan Cheng, Yuan Cheng, Dacheng Wang, Dacheng Wang, Yameng Gao, Lifang Wu, Lifang Wu

    Published 2025-01-01
    “…Additionally, the least absolute shrinkage and selection operator (LASSO) regression algorithm in machine learning was used to screen transcription factors such as bHLH, WRKY, and MYB that influenced the expression of TaAkPHY genes. …”
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  10. 13950
  11. 13951
  12. 13952

    Sequencing Silicates in the Spitzer Infrared Spectrograph Debris Disk Catalog. I. Methodology for Unsupervised Clustering by Cicero X. Lu, Tushar Mittal, Christine H. Chen, Alexis Y. Li, Kadin Worthen, B. A. Sargent, Carey M. Lisse, G. C. Sloan, Dean C. Hines, Dan M. Watson, Isabel Rebollido, Bin B. Ren, Joel D. Green

    Published 2025-01-01
    “…This study introduces CLustering UnsupErvised with Sequencer (CLUES), a novel, nonparametric, fully interpretable machine learning spectral analysis tool designed to analyze and classify the spectral data of debris disks. …”
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  13. 13953

    Pengukuran Kapabilitas Tata Kelola TI Sistem Informasi Tiras dan Transaksi Bahan Ajar Universitas Terbuka Menggunakan Cobit 5 by Denisha Trihapningsari, Dewi Agushinta R., Lintang Yuniar Banowosari

    Published 2021-10-01
    “…Abstract The Open University (UT) teaching material service implements the Information System for Learning Materials and Transactions (SITTA) which in the process encountered problems related to the operation and optimization of Information Technology. …”
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    Article
  14. 13954

    Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Develo... by Hui Li, Ruyi Zou, Hongxia Xin, Ping He, Bin Xi, Yaqiong Tian, Qi Zhao, Xin Yan, Xiaohua Qiu, Yujuan Gao, Yin Liu, Min Cao, Bi Chen, Qian Han, Juan Chen, Guochun Wang, Hourong Cai

    Published 2025-02-01
    “…ObjectiveThis study aimed to develop and validate a risk prediction model of 3-month mortality using machine learning (ML) in a large multicenter cohort of patients with anti-MDA5+DM-ILD in China. …”
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  15. 13955

    Egg freshness during storage: the effect of laying hen age and shelf life prediction using a novel hybrid modeling method by Yifeng Lu, Jing Li, Zihao He, Linyun Chen, Huixin Tian, Chen Xu, Xinglian Xu, Minyi Han

    Published 2025-11-01
    “…The tuning process of hyperparameters such as learning rate, training function, and transfer function was presented in detail. …”
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    Article
  16. 13956

    A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study by Stijn Denissen, Delphine Van Laethem, Johan Baijot, Lars Costers, Annabel Descamps, Ann Van Remoortel, Annick Van Merhaegen-Wieleman, Marie D’hooghe, Miguel D'Haeseleer, Dirk Smeets, Diana M Sima, Jeroen Van Schependom, Guy Nagels

    Published 2025-01-01
    “…MethodsThe icognition screening battery consists of 3 tests: the Symbol Test for information processing speed, the Dot Test for visuospatial short-term memory and learning, and the visual Backward Digit Span (vBDS) for working memory. …”
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    Article
  17. 13957

    Ovarian Reserve: A Critical Indicator of Female Reproductive Health by Julia Ufnal, Anna Wolff, Maria Morawska, Dominika Lewandowska, Dominika Rosińska-Lewandoska, Marcelina Szewczyk, Klaudia Kożuchowska, Dawid Pilarz, Kinga Jarosz, Szymon Gruszka

    Published 2025-01-01
    “…Newly approaches, like machine learning models and AMH-based screening programs in countries like Portugal emerge. …”
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    Article
  18. 13958

    A multimodal transformer system for noninvasive diabetic nephropathy diagnosis via retinal imaging by Zheyi Dong, Xiaofei Wang, Sai Pan, Taohan Weng, Xiaoniao Chen, Shuangshuang Jiang, Ying Li, Zonghua Wang, Xueying Cao, Qian Wang, Pu Chen, Lai Jiang, Guangyan Cai, Li Zhang, Yong Wang, Jinkui Yang, Yani He, Hongli Lin, Jie Wu, Li Tang, Jianhui Zhou, Shengxi Li, Zhaohui Li, Yibing Fu, Xinyue Yu, Yanqiu Geng, Yingjie Zhang, Liqiang Wang, Mai Xu, Xiangmei Chen

    Published 2025-01-01
    “…To reform the traditional biopsy-all diagnostic paradigm and avoid unnecessary biopsy, we developed a transformer-based deep learning (DL) system for detecting DN and NDRD upon non-invasive multi-modal data of fundus images and clinical characteristics. …”
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  19. 13959

    Bilateral synchronous UBE for unilateral laminotomy and bilateral decompression as a potentially effective minimally Invasive approach for two-level lumbar spinal stenosis by Yulin Zhao, Yingjun Guo, Xin Pan, Hao Li, Xianlei Gao, Haipeng Si, Wanlong Xu

    Published 2025-01-01
    “…Unilateral biportal endoscopy (UBE ) is more popular in treating LSS and is a more flexible operation, with small trauma, quick recovery, and a gentle learning curve. In addition, many studies have proven the good clinical efficacy of unilateral biportal endoscopy7. …”
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    Article
  20. 13960

    Subtyping Social Determinants of Health in the "All of Us" Program: Network Analysis and Visualization Study by Suresh K Bhavnani, Weibin Zhang, Daniel Bao, Mukaila Raji, Veronica Ajewole, Rodney Hunter, Yong-Fang Kuo, Susanne Schmidt, Monique R Pappadis, Elise Smith, Alex Bokov, Timothy Reistetter, Shyam Visweswaran, Brian Downer

    Published 2025-02-01
    “…However, the high degree of systematic missingness requires repeating the analysis as the data become more complete by using our generalizable and scalable machine learning code available on the All of Us workbench.…”
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