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  1. 3161
    Modeling hydrogen solubility in hydrocarbons using extreme gradient boosting and equations of state
    “... in plants. In this paper, five robust machine learning models including extreme gradient boosting (XGBoost...”
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  2. 3162
    Prediction of hospitalization using artificial intelligence for urgent patients in the emergency department
    “... clinical variables. A model to predict hospital admission was developed using neural networks and machine...”
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  3. 3163
    The incremental value of computed tomography of COVID-19 pneumonia in predicting ICU admission
    “... hybrid models (Hybrid radiological and Hybrid radiomics)for predicting ICU admission. Following a machine...”
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  4. 3164
    Voice analyses using smartphone-based data in patients with bipolar disorder, unaffected relatives and healthy control individuals, and during different affective states
    “... to these evaluations. Data were analyzed using random forest machine learning algorithms. Results Compared to HC, BD...”
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  5. 3165
    Evaluation of Computer-Aided Nodule Assessment and Risk Yield (CANARY) in Korean patients for prediction of invasiveness of ground-glass opacity nodule.
    “...-stratification machine-learning tool for lung adenocarcinomas, in a Korean patient population. To this end, a...”
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  6. 3166
    A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets.
    “... the available data). It was performed through three different machine learning pipelines.<h4>Results</h4...”
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  7. 3167
    Predicting drug sensitivity of cancer cells based on DNA methylation levels.
    “... database, we used machine-learning algorithms to evaluate the potential to predict cytotoxic responses...”
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  8. 3168
    High circulating elafin levels are associated with Crohn's disease-associated intestinal strictures.
    “... stricture in Crohn's disease (CD) patients. Microsoft Azure Machine learning algorithm using serum elafin...”
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  9. 3169
    The Skin Microbiome of Cohabiting Couples
    “... on skin microbiome profiles using machine learning approaches. These results show that a cohabiting...”
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  10. 3170
    Personalized prediction of disease activity in patients with rheumatoid arthritis using an adaptive deep neural network.
    “... compared to classical machine learning architectures. All investigated models had limitations in low...”
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  11. 3171
    Retrospective study of glycemic variability, BMI, and blood pressure in diabetes patients in the Digital Twin Precision Treatment Program
    “... psychiatric disorders. The TPT program uses Digital Twin technology, machine learning algorithms...”
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  12. 3172
    Separation of Donor and Recipient Microbial Diversity Allows Determination of Taxonomic and Functional Features of Gut Microbiota Restructuring following Fecal Transplantation
    “... metagenome. Using the RECAST algorithm, taxonomic/functional annotation, and machine learning approaches...”
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  13. 3173
    The progression of disorder-specific brain pattern expression in schizophrenia over 9 years
    “...) neuroimaging-based machine learning (ML) models as the accuracy of identifying first-episode psychosis from...”
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  14. 3174
    Screening of osteoarthritis diagnostic markers based on immune-related genes and immune infiltration
    “... was increased but that mast cell and neutrophil infiltration were decreased in OA samples. The machine learning...”
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  15. 3175
    Derivation of a Contextually-Appropriate COVID-19 Mortality Scale for Low-Resource Settings
    por J. L. Pigoga, Y. O. Omer, L. A. Wallis
    Publicado 2021
    “... mortality risk using only easy-to-obtain demographic and clinical inputs. Methods: Machine learning was used...”
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  16. 3176
    An empirical investigation of deviations from the Beer–Lambert law in optical estimation of lactate
    “... of when such nonlinearities can become predominant, along with the mainstream use of nonlinear machine...”
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  17. 3177
    Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults
    “... to 2014 were analyzed using linear mixed effects models. To assess the value of more flexible machine...”
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  18. 3178
    Head-to-head comparison of clustering methods for heterogeneous data: a simulation-driven benchmark
    “...Abstract The choice of the most appropriate unsupervised machine-learning method for “heterogeneous...”
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  19. 3179
    Meta-omics characteristics of intestinal microbiota associated to HBeAg seroconversion induced by oral antiviral therapy
    “... of therapy. A computational statistical and machine learning approach allowed us to identify a microbial...”
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  20. 3180
    Data-driven identification of ageing-related diseases from electronic health records
    “... using two complementary methods consisting of unsupervised machine learning and actuarial techniques...”
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