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24981
Automated sample annotation for diabetes mellitus in healthcare integrated biobanking
Published 2024-12-01“…Healthcare integrated biobanking describes the annotation and collection of residual samples from hospitalized patients for research purposes. The central idea of the current work is to establish an automated workflow for sample annotation, selection and storage for diabetes mellitus. …”
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24982
ODIASP: An Open‐Source Software for Automated SMI Determination—Application to an Inpatient Population
Published 2025-08-01“…ODIASP combines two algorithms to automate L3 slice selection and skeletal muscle segmentation, ensuring a seamless process. …”
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24983
Advanced classification of optical water types and ensemble learning models for Chl-a inversion in Dongting and Poyang lakes using Sentinel-2 remote sensing: assessing the impact o...
Published 2025-08-01“…This study proposes an integrated framework combining optical water type (OWTs) classification and ensemble learning algorithms to enhance the re- mote sensing retrieval accuracy of Chl-a in Dongting Lake and Poyang Lake during 2020–2023, particularly during the extreme drought event of 2022. …”
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24984
Re-resection of brain metastases – outcomes of an institutional cohort study and literature review
Published 2025-06-01“…This study underscores the potential role of re-resection in brain metastasis. Further research to improve patient selection and treatment algorithms is warranted.…”
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24985
A Hierarchical Machine Learning-Based Strategy for Mapping Grassland in Manitoba’s Diverse Ecoregions
Published 2024-12-01“…This study developed a novel pixel-based grassland classification approach using three supervised machine learning (ML) algorithms, which were assessed in the province of Manitoba, Canada. …”
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24986
Predictive model for sarcopenia in chronic kidney disease: a nomogram and machine learning approach using CHARLS data
Published 2025-03-01“…Four machine learning algorithms were utilized, with the optimal model undergoing hyperparameter optimization to evaluate the significance of predictive factors.ResultsA total of 1,092 CKD patients were included, with 231 (21.2%) diagnosed with sarcopenia. …”
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24987
Functional Connectivity Changes in Primary Motor Cortex Subregions of Patients With Obstructive Sleep Apnea
Published 2025-07-01“…Additionally, we employed three machine learning algorithms—support vector machine (SVM), random forest (RF), and logistic regression (LR)—to distinguish patients with OSA from HC based on FC features. …”
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24988
Project quality, regulation quality
Published 2024-06-01“…There are many examples spanning technical directives regulating the implementation cycles of the INA Casa, the result of design research in support of the political project, and the various procedural and meta design regulations derived from research in the Architectural Technology Field. …”
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24989
Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy
Published 2025-07-01“…Additionally, we employed algorithms such as CIBERSORT and ESTIMATE to assess the correlation between the risk score and TME components. …”
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24990
Preoperatively-determined Red Distribution Width (RDW) predicts prolonged length of stay after single-level spinal fusion in elderly patients
Published 2024-01-01“…Classical correlation analysis, Receiver-operating characteristic (ROC) and new machine learning algorithms) were used. Results: A total of 208 patients were included in the present study. …”
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24991
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24992
Spatiotemporal evolution of interseismic coupling and stress accumulation near an asperity on a vertical strike-slip fault: Insights from three-dimensional viscoelastic numerical s...
Published 2024-11-01“…These models incorporate vertical strike-slip faults and use sophisticated contact algorithms to simulate the mechanical locking associated with asperities. …”
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24993
Progress and key technology analysis of bronchoscopic robot
Published 2025-04-01“…Finally, this paper looks toward the future by exploring research directions and emerging development trends. …”
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24994
Pharmacological potential of 6,11-dihydro[1,2,4]triazolo[4’,3’:1,6]-pyrido[3,4-b]-5-carboxylic acid and its esters
Published 2025-03-01“…Due to their unique structural features and a wide range of biological activities, these compounds remain an attractive area of research for the development of innovative pharmaceuticals. …”
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24995
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24996
Antarctic Ice Sheet grounding line discharge from 1996–2024
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24997
An Empirically Validated Framework for Automated and Personalized Residential Energy-Management Integrating Large Language Models and the Internet of Energy
Published 2025-07-01“…The system combines real-time monitoring, machine learning algorithms for behavioral analysis, and natural language processing to deliver personalized, actionable recommendations through a conversational interface. …”
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24998
Emisión Acústica y Redes Neuronales para Modelado y Caracterización del Proceso de Soldadura por Fricción Agitación
Published 2013-10-01“…A multilayer feed-forward ANN has been selected and trained, using different algorithms and network architectures. The parameters provided by the ANN constitute the model and the characterization of the FSW process; finally an analysis of the comparison between the measured and the calculated data is presented, validating the results. …”
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24999
Utilizing bioinformatics to identify biomarkers and analyze their expression in relation to immune cell ratios in femoral head necrosis
Published 2025-04-01“…BackgroundNecrosis of the Femoral Head (NFH) represents a challenging orthopedic condition, characterized by elusive early detection and rapid progression, predominantly in the middle-aged demographic. Current research on the pathophysiological and immunoregulatory mechanisms underpinning immune cell infiltration in NFH is sparse. …”
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25000
The association between metabolomic profiles of lifestyle and the latent phase of incident chronic kidney disease in the UK Population
Published 2025-01-01“…Metabolomics, especially nuclear magnetic resonance(NMR), offers insights into metabolic profiles’ role in diseases, but more research is needed on its connection to CKD and lifestyle factors. …”
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