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  1. 3301
    Differential Effects of Influenza Virus NA, HA Head, and HA Stalk Antibodies on Peripheral Blood Leukocyte Gene Expression during Human Infection
    “... large cohort of people infected with A/H1N1pdm virus. Using statistical and machine-learning approaches...”
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  2. 3302
    Relative Ratios of Human Seasonal Coronavirus Antibodies Predict the Efficiency of Cross-Neutralization of SARS-CoV-2 Spike Binding to ACE2
    “... analysed using machine learning to identify predictive patterns of neutralization based on sCoVs serology...”
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  3. 3303
    Prediction and detection of freezing of gait in Parkinson’s disease from plantar pressure data using long short-term memory neural-networks
    “... subtle weight shifts unique to FOG episodes. Different machine learning algorithms have been used for FOG...”
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  4. 3304
    Artificial Intelligence Algorithms in Visual Evoked Potential-Based Brain-Computer Interfaces for Motor Rehabilitation Applications: Systematic Review and Future Directions
    “..., only four performed tests with patients. The most reported machine learning (ML) algorithms used...”
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  5. 3305
    Automatic epilepsy detection using fractal dimensions segmentation and GP–SVM classification
    por Jirka J, Prauzek M, Krejcar O, Kuca K
    Publicado 2018
    “... epilepsy seizure classification combining machine learning methods with genetic evolution...”
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  6. 3306
    Neural network features distinguish chemosensory stimuli in Caenorhabditis elegans
    “... by stimulus identity. Further, we show that a simple machine learning classifier trained using graph-theoretic...”
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  7. 3307
    Network inference algorithms elucidate Nrf2 regulation of mouse lung oxidative stress.
    “.... Using the two network inference algorithms and one machine learning algorithm, a number of both...”
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  8. 3308
    DETERMINATION OF SOME IMMUNOLOGICAL FEATURES OF HHV-6-MEDIATED INFECTIOUS MONONUCLEOSIS IN CHILDREN BY THE METHOD OF DISCRIMINATORY ANALYSIS
    “... groups analyzed in pairs. We used the  method of machine learning — the algorithm of gradient boosting...”
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  9. 3309
    Addressing missing values in routine health information system data: an evaluation of imputation methods using data from the Democratic Republic of the Congo during the COVID-19 pandemic
    “...% missing values. However, as the missing proportion grew, k-NN started to produce biased estimates. Machine...”
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  10. 3310
    Hollow-tree super: A directional and scalable approach for feature importance in boosted tree models
    “...<h4>Purpose</h4> Current limitations in methodologies used throughout machine-learning...”
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  11. 3311
    Estimation and forecasting methods for design and operation of photovoltaic plants
    “... solar tomadas en tierra son escasas, hemos desarrollado una metodología que emplea técnicas de “machine...”
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  12. 3312
    Development and validation of an interpretable neural network for prediction of postoperative in-hospital mortality
    “...Abstract While deep neural networks (DNNs) and other machine learning models often have higher...”
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  13. 3313
    Mitochondrial Imbalance as a New Approach to the Study of Fibromyalgia
    “... the different parameters. Finally, bioinformatic analysis of machine learning was performed to predict possible...”
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  14. 3314
    Characterizing Spatial Patterns of Pine Wood Nematode Outbreaks in Subtropical Zone in China
    “..., and aspect. We compared the fitting effects of different machine learning algorithms such as random forest...”
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  15. 3315
    Seasonal evolution of Antarctic supraglacial lakes in 2015–2021 and links to environmental controls
    “.... In this study, we employ state-of-the-art machine learning on Sentinel-1 synthetic aperture radar (SAR...”
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  16. 3316
    Immune Response and Microbiota Profiles during Coinfection with <named-content content-type="genus-species">Plasmodium vivax</named-content> and Soil-Transmitted Helminths
    “... used machine learning to identify the most important predictors of the P. vivax parasite burden (among...”
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  17. 3317
    Global Transcriptome Analysis Identifies a Diagnostic Signature for Early Disseminated Lyme Disease and Its Resolution
    “... forest machine learning algorithm, we developed an efficient computational framework to identify sets...”
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  18. 3318
    Application of deep learning upon spinal radiographs to predict progression in adolescent idiopathic scoliosis at first clinic visit
    “... reconstruction, we designated the major curve apex upon PA X-rays as the region of interest (ROI) for machine...”
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  19. 3319
    Data on one-dimensional vertical free swelling potential of soils and related soil properties
    por Eyo E. U, Uche Onyekpe
    Publicado 2021
    “..., and machine learning predictions using soft computing methods mostly aimed at evaluating soil expansion...”
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  20. 3320
    Integrated CT Radiomics Features Could Enhance the Efficacy of 18F-FET PET for Non-Invasive Isocitrate Dehydrogenase Genotype Prediction in Adult Untreated Gliomas: A Retrospective Cohort Study
    “... using the least absolute shrinkage and selection operator (LASSO) regression analysis based on machine...”
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