Showing 7,061 - 7,080 results of 16,799 for search '"Prediction', query time: 0.14s Refine Results
  1. 7061

    Comparative study of IoT- and AI-based computing disease detection approaches by Wasiur Rhmann, Jalaluddin Khan, Ghufran Ahmad Khan, Zubair Ashraf, Babita Pandey, Mohammad Ahmar Khan, Ashraf Ali, Amaan Ishrat, Abdulrahman Abdullah Alghamdi, Bilal Ahamad, Mohammad Khaja Shaik

    Published 2025-03-01
    “…This study can be helpful to researchers interested in developing better IoT-based disease detection and prediction systems based on deep learning using hybrid algorithms.…”
    Get full text
    Article
  2. 7062

    Attribution analysis of water-sediment variation under the influence of climate change and human activities in the Kuye River Basin by Jiankang ZHANG, Jiping WANG, Jiansheng SHI

    Published 2024-11-01
    “…The analysis method of slope change rate of cumulative quantity has good applicability and provides scientific basis for hydrological prediction and management in the Kuye River basin. In the future. …”
    Get full text
    Article
  3. 7063

    Ultrasound Measured Depth of Pelvic Free Fluid Correlates Well with Blood Loss Volume in Patients with Ectopic Pregnancy by Shuai Tang, Qing Zhou, Yuelun Zhang, Lin Chen, Xuerong Yu, Yanming Zhang, Zhenhong Qi, Yu Xia, Yuguang Huang

    Published 2020-01-01
    “…The depth of pelvic free fluid measured by TVS and TAS can be used to predict blood loss volume in patients having an ectopic pregnancy. …”
    Get full text
    Article
  4. 7064
  5. 7065

    Bioinformatics analysis combined with experimental validation reveals the biological role of the ILK gene in prostate cancer by Xiao-xiang Yu, Yi Liu, Rong-jiang Luo, Zi-xuan Song, Wen-kai Chen, Zeng-mi Mo, Feng-jing Wang

    Published 2025-01-01
    “…Moreover, we conducted Mfuzz expression pattern clustering analysis, gene set enrichment analysis (GSEA), immune function analysis, transcription factor (TF) analysis, and drug prediction. Results 544 significant genes were identified by WGCNA. …”
    Get full text
    Article
  6. 7066

    Exploring the potential of palm oil plantation waste for local communities using mixed methods by A. Ilhami, T. Hidayat, Riandi .

    Published 2024-11-01
    “…Utilizing secondary data obtained from the Central Statistics Agency, the research calculates the volume of waste generated by smallholder oil palm plantations and forecasts the quantity of palm oil waste. The prediction method uses the time series modeler method with the help of a statistical package for the social sciences 23. …”
    Get full text
    Article
  7. 7067

    Physical activities and breast cancer: a Mendelian randomization study by Lishan Ding, Qingliang Chen, Hao Liang, Meng Shen, Ming Zheng, Zhaojun Li

    Published 2024-11-01
    “…Two-sample MR analysis revealed a genetic prediction indicating that walking for pleasure was associated with decreased risk of ER+ BC (odds ratio (OR) = 0.302, 95% CI = 0.105–0.872, p = 0.027), while other physical activities were not significantly correlated with BC, ER+ BC and ER– BC. …”
    Get full text
    Article
  8. 7068

    Multivendor Spectral-Domain Optical Coherence Tomography Dataset, Observer Annotation Performance Evaluation, and Standardized Evaluation Framework for Intraretinal Cystoid Fluid S... by Jing Wu, Ana-Maria Philip, Dominika Podkowinski, Bianca S. Gerendas, Georg Langs, Christian Simader, Sebastian M. Waldstein, Ursula M. Schmidt-Erfurth

    Published 2016-01-01
    “…Development of image analysis and machine learning methods for segmentation of clinically significant pathology in retinal spectral-domain optical coherence tomography (SD-OCT), used in disease detection and prediction, is limited due to the availability of expertly annotated reference data. …”
    Get full text
    Article
  9. 7069

    Identification of circulating Tfh/Th subsets as a biomarker of developed hospital-acquired pneumonia by Yuan Peng, Tao Tao, Ni-Wen Yu, Chenyang Xu, Cheng Chen

    Published 2025-01-01
    “…Accordingly, the combination of Tfh/Th and PCT could serve as a more effective predictive marker for HAP deterioration and survival prediction. …”
    Get full text
    Article
  10. 7070

    The clinical value and most informative threshold of polygenic risk score in the Quebec City Case-Control Asthma Cohort by Martin Pariès, Stéphanie Bougeard, Aida Eslami, Zhonglin Li, Michel Laviolette, Louis-Philippe Boulet, Evelyne Vigneau, Yohan Bossé

    Published 2025-01-01
    “…A potential near-term clinical application is to calculate polygenic risk score (PRS) to improve disease risk prediction. The value of PRS, as part of numerous multi-source variables used to define asthma, remains unclear. …”
    Get full text
    Article
  11. 7071

    Effector proteins of Funneliformis mosseae BR221: unravelling plant-fungal interactions through reference-based transcriptome analysis, in vitro validation, and protein‒protein doc... by Pratima Vasistha, Pushplata Prasad Singh, Divya Srivastava, Leena Johny, Sadhana Shukla

    Published 2025-01-01
    “…Results A total of 163 effector proteins were identified in F. mosseae isolate BR221, of these, 79.14% are extracellular effectors and 5.5% are predicted cytoplasmic effectors. In silico prediction using a pathogen-host interaction database suggested four of the 163 effectors could be crucial in establishing AM fungi-host interactions. …”
    Get full text
    Article
  12. 7072

    Risk Factors for Contralateral Occult Papillary Thyroid Carcinoma in Patients with Clinical Unilateral Papillary Thyroid Carcinoma: A Case-Control Study by Liu Yihao, Li Shuo, Xi Pu, Wang Zipeng, Sun Hanlin, Chang Qungang, Wang Yongfei, Yin Detao

    Published 2022-01-01
    “…The forest plot was plotted to visualize the prediction factors from the output of the multivariate regression analysis. …”
    Get full text
    Article
  13. 7073

    Identifying MTHFD1 and LGALS4 as Potential Therapeutic Targets in Prostate Cancer Through Multi-Omics Mendelian Randomization Analysis by Huan Han, Hanwen Su, Zhihua Lv, Chengliang Zhu, Jingtao Huang

    Published 2025-01-01
    “…In contrast, MTHFD1was expressed in both tumor and microenvironmental cells and was associated with poor survival. Drug target prediction suggested that there are no currently approved drugs specifically targeting MTHFD1 and LGALS4. …”
    Get full text
    Article
  14. 7074

    The Clinical Importance of Optic Nerve Sheath Diameter in Patients with Traumatic Brain Injury: Preliminary Report by Burcu AVCI OZBALIK, Tugba BINGOL TANRIVERDI, Hafize Gulsah OZCAN, Melek GURA CELIK

    Published 2022-12-01
    “…In cases of severe TBI, the prediction of prognosis is essential. The enlargement of the optic nerve sheath diameter (ONSD) shows an increased intracranial pressure and is associated with poor outcomes. …”
    Get full text
    Article
  15. 7075

    Antiviral therapy can effectively suppress irAEs in HBV positive hepatocellular carcinoma treated with ICIs: validation based on multi machine learning by Shuxian Pan, Zibing Wang

    Published 2025-01-01
    “…However, Immunotherapy-related adverse reactions are still a major challenge faced by tumor immunotherapy, so it is urgent to establish new methods to effectively predict immunotherapy-related adverse reactions.ObjectiveMulti-machine learning model were constructed to screen the risk factors for irAEs in ICIs for the treatment of HBV-related hepatocellular and build a prediction model for the occurrence of clinical IRAEs.MethodsData from 274 hepatitis B virus positive tumor patients who received PD-1 or/and CTLA4 inhibitor treatment and had immune cell detection results were collected from Henan Cancer Hospital for retrospective analysis. …”
    Get full text
    Article
  16. 7076

    Identification and Validation of the Pyroptosis-Related Hub Gene Signature and the Associated Regulation Axis in Diabetic Keratopathy by Yi Cui, Li Wang, Wentao Liang, Li Huang, Shuting Zhuang, Hong Shi, Nuo Xu, Jianzhang Hu

    Published 2024-01-01
    “…An integrated bioinformatics pipeline, including differentially expressed gene (DEG) identification, enrichment analysis, protein-protein interaction (PPI) network, coexpression, drug prediction, and immune deconvolution analyses, identified hub genes and key drivers in DK pathogenesis. …”
    Get full text
    Article
  17. 7077

    Assessment of Blasting-Induced Ground Vibration in an Open-Pit Mine under Different Rock Properties by Zhi-qiang Yin, Zu-xiang Hu, Ze-di Wei, Guang-ming Zhao, Ma Hai-feng, Zhuo Zhang, Rui-min Feng

    Published 2018-01-01
    “…Therefore, accurately predicting the blasting vibration is necessary to ensure slope stability. …”
    Get full text
    Article
  18. 7078

    Transcript Changes of Placental Tissue in Gestational Diabetes Mellitus Based on Transcriptome Sequencing by Sun Y, Wang Y, Liu C, Yang J, Li Q, Zhao F

    Published 2025-01-01
    “…KEGG pathway enrichment analysis indicated the involvement of DEGs in signalling pathways related to PI3K-Akt signaling pathway and ECM-receptor interaction. qRT-PCR validation of five randomly selected DEGs confirmed consistent expression trends with RNA-Seq quantification.Conclusion: YWHAB, LEP, CCL21, PAPPA2, and SFN may be potential biological markers for the diagnosis of GDM, involved in the occurrence and development of GDM, and have certain value for disease prediction and diagnosis.Keywords: gestational diabetes, transcriptome sequencing, qRT-PCR validation, placental tissue, pathogenic genes…”
    Get full text
    Article
  19. 7079

    Analysis of differentially expressed genes in hypertension and hypertensive cerebral hemorrhage via RNA-sequencing by Hongwu Qi, Min Qiao, Yansong Liu, Weijun Zeng, Lizhao Zhang, Hongjun Guo

    Published 2024-12-01
    “…Estimation of cell infiltration, drug prediction, and real-time qPCR (RT-qPCR) validation were performed. …”
    Get full text
    Article
  20. 7080

    USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

    Published 2023-12-01
    “…Well-researched fields include credit rating, fraud detection, bankruptcy prediction, and volatility forecasting. In these areas, advanced models, including deep learning, have been widely employed to improve accuracy and predictive power. …”
    Get full text
    Article