Showing 981 - 1,000 results of 2,390 for search '"Prediction', query time: 0.06s Refine Results
  1. 981

    GPX3 as a Novel and Potential Therapeutic Target in the Shared Molecular Mechanisms of Traumatic Brain Injury and Parkinson’s Disease by Wang Y, Fang J, Yuan Q, Yu J, Hu J

    Published 2025-02-01
    “…Further analyses, including GO and KEGG pathway enrichment, protein-protein interaction (PPI) network construction, hub gene identification, as well as miRNA and transcription factor prediction and drug candidate screening, were conducted. …”
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  2. 982
  3. 983

    The impact of macroeconomic policies on poverty and income distribution : macro-micro evaluation techniques and tools /

    Published 2008
    Table of Contents: “….] -- Part 2: Examining the social impact of the Indonesian financial crisis using a macro-micro model / Anne-Sophie Robilliard, François Bourguignon, and Sherman Robinson -- Can the distributional impacts of macroeconomic shocks be predicted? A comparison of macro-micro models with historical data for Brazil / Franco H.G. …”
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  4. 984

    Model Evaluation and Uncertainty Analysis of PM2.5 Components over Pearl River Delta Region Using Monte Carlo Simulations by Qian Wu, Xiao Tang, Lei Kong, Zirui Liu, Duohong Chen, Miaomiao Lu, Huangjian Wu, Jin Shen, Lin Wu, Xiaole Pan, Jie Li, Jiang Zhu, Zifa Wang

    Published 2020-07-01
    “…Abstract Sulfate, nitrate, ammonium, organic carbon (OC) and black carbon (BC) are the key components of PM2.5, but predicting their concentrations remains a challenge because of high uncertainties in the modeling. …”
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  5. 985

    Automated on-site broiler live weight estimation through YOLO-based segmentation by Mahmoud Y. Shams, Wael M. Elmessery, Awad Ali Tayoush Oraiath, Ahmed Elbeltagi, Ali Salem, Pankaj Kumar, Tamer M. El-Messery, Tarek Abd El-Hafeez, Mohamed F. Abdelshafie, Gomaa G. Abd El-Wahhab, Ibrahim S. El-Soaly, Abdallah Elshawadfy Elwakeel

    Published 2025-03-01
    “…The YOLOv8 architecture builds a model that demonstrates improved and trustworthy results in broiler weight prediction, achieving a mean average precision across a range of intersection over union thresholds from 50 % to 95 % of 0.829. …”
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  6. 986

    Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review by Paolo Giaccone, Federico D’Antoni, Fabrizio Russo, Luca Ambrosio, Giuseppe Francesco Papalia, Onorato d’Angelis, Gianluca Vadalà, Albert Comelli, Luca Vollero, Mario Merone, Rocco Papalia, Vincenzo Denaro

    Published 2025-02-01
    “…Several different machine learning and deep learning algorithms were employed, and their predictive ability on clinical, demographic, psychosocial, and imaging data was assessed. …”
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  7. 987

    Association of neutrophil-to-lymphocyte ratio with severe abdominal aortic calcification: new evidence from the United States by Hao Deng, Mengmeng Sun, Zhentong Zhao, Kun Fan, Zizhang Zhao, Yifan Chi, Wei Sheng

    Published 2025-02-01
    “…BackgroundAbdominal aortic calcification (AAC), an early indicator of abdominal aortic wall atherosclerosis, is a marker of subclinical atherosclerosis and a predictive factor for vascular-associated morbidity and mortality. …”
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  8. 988

    Cetacean feeding modelling using machine learning: A case study of the Central-Eastern Mediterranean Sea by Carla Cherubini, Giulia Cipriano, Leonardo Saccotelli, Giovanni Dimauro, Giovanni Coppini, Roberto Carlucci, Carmelo Fanizza, Rosalia Maglietta

    Published 2025-05-01
    “…These differences in predictive performance might reflect the distinct trophic niches of the studied odontocetes. …”
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  9. 989

    Comparing the efficacy of different methods in assessing cervical stromal invasion in endometrial carcinoma: a retrospective study of 2,020 patients by Ying Yang, Ying Yang, Zhijun Ye, Zhijun Ye, Yifei Zhao, Yifei Zhao, Zhengyu Li, Zhengyu Li

    Published 2025-02-01
    “…Combining MRI and biopsy could improve diagnostic sensitivity, aiding in clinical decision making and prognostic prediction. Comprehensive consideration of high-risk factors for the occurrence of CSI may aid the diagnosis. …”
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  10. 990

    Role of Aging in Ulcerative Colitis Pathogenesis: A Focus on ETS1 as a Promising Biomarker by Ni M, Peng W, Wang X, Li J

    Published 2025-02-01
    “…In this study, we explored the role of aging-related genes (ARGs) in UC pathogenesis and diagnosis prediction.Methods: Gene expression data were obtained from four independent datasets (GSE75214, GSE87466, GSE94648, and GSE169568) in the GEO database, and ARGs were derived from multiple public databases. …”
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  11. 991

    Efficacy and safety of dexamethasone or triamcinolone in combination with anti-vascular endothelial growth factor therapy for diabetic macular edema: A systematic review and meta-a... by Bo Zhou, Hua Liu, Feng Xiong

    Published 2025-01-01
    “…The assessment of heterogeneity was conducted via Cochran's Q test, I2 statistics, and the implementation of a 95% prediction interval (PI). All analyses were performed by R 4.3.1, Stata 12.0, and TSA v0.9.5.10 Beta software.…”
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  12. 992

    Oakland score to identify low-risk patients with lower gastrointestinal bleeding performs well among emergency department patients by Daniel D. DiLena, Sean C. Bouvet, Madeline J. Somers, Maqdooda A. Merchant, Theodore R. Levin, Adina S. Rauchwerger, Dana R. Sax

    Published 2025-02-01
    “…Abstract Background The Oakland Score predicts risk of 30-day adverse events among hospitalized patients with lower gastrointestinal bleeding (LGIB) possibly identifying patients who may be safe for discharge. …”
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  13. 993

    The causal relationship of cigarette smoking to metabolic disease risk and the possible mediating role of gut microbiota by Jingda Zhang, Lin Hou, Shanxiang Lei, Yan Li, Guogang Xu

    Published 2025-01-01
    “…Furthermore, to mitigate the impact of confounding factors, adjusted models were conducted via the multivariate Mendelian randomization (MVMR) method, aiming to improve the accuracy of prediction. Ultimately, the study evaluated the effect of the intermediary factor, gut microbiome, on the relationship between cigarette smoke and metabolic diseases. …”
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  14. 994

    Optimasi Pertanian Padi: Peramalan Curah Hujan Berbasis Arima Untuk Penentuan Waktu Tanam Yang Tepat by Sofi Defiyanti, Betha Nurina Sari, Tesa Nur Padilah

    Published 2024-12-01
    “…Forecasting using the ARIMA method can be used to predict future rainfall, helping to identify the best time to start planting. …”
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  15. 995

    A deep learning-based method for the intelligent identification of the quantity of coals flushed out during borehole hydraulic flushing by Xiaojun LI, Mingyang ZHAO, Miao LI

    Published 2025-01-01
    “…The CIoU loss function was replaced with the SIoU loss function to accelerate the matching between prediction and ground truth boxes. Finally, the improved YOLOv8n algorithm was validated using a self-built dataset. …”
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  16. 996

    Steering conservation biocontrol at the frontlines: A fuzzy logic approach unleashing potentials of climate-smart intercropping as a component within the integrated management of f... by Komi Mensah Agboka, Henri E.Z. Tonnang, Emily Kimathi, Elfatih M. Abdel-Rahman, John Odindi, Onisimo Mutanga, Saliou Niassy

    Published 2025-02-01
    “…Farms in the eastern and southern regions are predicted to be highly suitable, while the suitability of farms in West Africa is expected to improve over time due to the perennial nature and agronomic benefits of companion plants. …”
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  17. 997

    Prediksi Interaksi Drug Target pada Gen Kanker Menggunakan Metode Lasso-XGBoost by Muh Fadhil Al-Haaq Ginoga, Wisnu Ananta Kusuma, Mushthofa Mushthofa

    Published 2023-07-01
    “…In this study, a DTI prediction model is built by selecting features on the data set using Least Absolute Shrinkage and Selection Operator (LASSO) then data balancing performed with Synthetic Minority Oversampling Technique (SMOTE) and Extreme Gradient Boosting (XGBoost) performed to predict the interaction. …”
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  18. 998

    Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang by Sutarman, Rimbun Siringoringo, Dedy Arisandi, Edi Kurniawan, Erna Budhiarti Nababan

    Published 2024-08-01
    “…Logistic regression can yield good results in classification and prediction problems. The extensive features of the dataset can lead to computational burdens and reduced classification performance. …”
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  19. 999

    Pengaruh Prediksi Missing Value pada Klasifikasi Decision Tree C4.5 by Aji Seto Arifianto, Kursita Dewi Safitri, Khafidurrohman Agustianto, I Gede Wiryawan

    Published 2022-08-01
    “…Then in the second treatment, the prediction of missing value was applied using the mean and mode formula before the formation of the rule tree, obtained 24 rules. …”
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  20. 1000

    Maternal health risk factors dataset: Clinical parameters and insights from rural BangladeshMendeley Data by Mayen Uddin Mojumdar, Dhiman Sarker, Md Assaduzzaman, Hasin Arman Shifa, Md. Anisul Haque Sajeeb, Oahidul Islam, Md Shadikul Bari, Mohammad Jahangir Alam, Narayan Ranjan Chakraborty

    Published 2025-04-01
    “…It will aid in generating high-risk pregnancy evaluation and prediction models to support clinical management. This dataset is valuable for its potential to serve as a benchmark for comparing maternal health responses across different clinical conditions of patients, thereby contributing to a broader understanding of pregnancy-related complications. …”
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