Showing 2,261 - 2,280 results of 9,218 for search 'Datchet~', query time: 2.32s Refine Results
  1. 2261

    Prognostic significance of neutrophil extracellular trap-related genes in childhood acute lymphoblastic leukemia: insights from multi-omics and in vitro experiment by Cheng Chen, Yu Ma, Yadai Gao, Huiqing Ge, Xiaochun Zhang

    Published 2025-12-01
    “…Background This study aimed to develop a prognostic model based on extracellular trap-related genes (NETRGs) for patients with cALL.Methods Data from the TARGET-ALL-P2 and TARGET-ALL-P3 cohorts in the Genomic Data Commons database, the transcriptome dataset GSE26713, the single-cell transcriptome dataset GSE130116 from the Gene Expression Omnibus database and 306 NETRGs identified were analysed. …”
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    PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

    Published 2025-02-01
    “…This approach utilises the publicly accessible NSL KDD dataset as its input dataset. During the data collecting process for NSL-KDD, all symbolic qualities are transformed into their corresponding numerical representations. …”
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    Klasifikasi Sinyal Phonocardiogram Menggunakan Short Time Fourier Transform dan Convolutional Neural Network by Muhammad Alwi Adnan Amal, Dodi Zulherman, Rahmat Widadi

    Published 2023-04-01
    “…Pengujian rancangan sistem menggunakan dataset sekunder dengan 2.575 rekaman PCG normal dan 665 rekaman PCG abnormal dalam format wav. …”
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    The Use of Artificial Intelligence and Wearable Inertial Measurement Units in Medicine: Systematic Review by Ricardo Smits Serena, Florian Hinterwimmer, Rainer Burgkart, Rudiger von Eisenhart-Rothe, Daniel Rueckert

    Published 2025-01-01
    “…(3) What are the characteristics of the datasets used for in this fields? ResultsThe median dataset size is of 50 participants, which poses significant limitations for AI models given their dependency on large datasets for effective training and generalization. …”
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    Kombinasi Feature Selection Fisher Score dan Principal Component Analysis (PCA) untuk Klasifikasi Cervix Dysplasia by Krisan Aprian Widagdo, Kusworo Adi, Rahmat Gernowo

    Published 2020-05-01
    “…And then PCA transforms candidate features into a new uncorrelated dataset. Artificial Neural Network Backpropagation used to evaluate performance combination FScore PCA. …”
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    Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications by Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Siddheshwari Bankar, Sartaj Bhuvaji, Sungroul Kim, Choon-Sik Park

    Published 2025-01-01
    “…This paper addresses the problem of class imbalance, given the scarcity of training datasets by improving the quality of generated data. …”
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  18. 2278

    Insights into the contribution of multiple factors on Ixodes ricinus abundance across Europe spanning 20 years using different machine learning algorithms by Samantha Lansdell, Abin Zorto, Misaki Seto, Edessa Negera, Saeed Sharif, Sally Cutler

    Published 2025-01-01
    “…The study demonstrated that Agglomerative Hierarchical Clustering (AC) methods and Linear Regression (LR) modelling performed best with this dataset. Our findings revealed that land use and rainfall were the primary contributors to I. ricinus abundance, with temperature playing a lesser role. …”
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  19. 2279

    Clinical Burden and Healthcare Resource Use of Asthma in Children in the UK by Gouia I, Joulain F, Zhang Y, Morgan CL, Khan AH

    Published 2025-02-01
    “…We assessed the clinical and economic burden of asthma in children in the UK to better understand the impact of pediatric asthma.Methods: This was a retrospective, case-matched, longitudinal analysis using the Clinical Practice Research Datalink GOLD database and linked patient-level data (Hospital Episode Statistics and Office for National Statistics datasets) of selected patient (aged 6– 11 years) records in 2017. …”
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    ECG-LM: Understanding Electrocardiogram with a Large Language Model by Kai Yang, Massimo Hong, Jiahuan Zhang, Yizhen Luo, Suyuan Zhao, Ou Zhang, Xiaomao Yu, Jiawen Zhou, Liuqing Yang, Ping Zhang, Mu Qiao, Zaiqing Nie

    Published 2025-01-01
    “…To address the scarcity of text–ECG data, we generated text–ECG pairs by leveraging detailed ECG pattern descriptions from medical guidelines, creating a robust dataset for pre-training ECG-LM. Additionally, we fine-tune ECG-LM with public clinical conversation datasets and build an additional supervised fine-tuning dataset based on real clinical data from the hospital, aiming to provide a more comprehensive and customized user experience. …”
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