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  1. 1061
    Multiparametric Microstructural MRI and Machine Learning Classification Yields High Diagnostic Accuracy in Amyotrophic Lateral Sclerosis: Proof of Concept
    Materias: “...machine learning...”
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  2. 1062
    Predictive value of imaging markers at multiple sclerosis disease onset based on gadolinium- and USPIO-enhanced MRI and machine learning.
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  3. 1063
    Fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves
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  4. 1064
    Machine Learning Model Analysis of Breeding Habitats for the Black-necked Crane in Central Asian Uplands under Anthropogenic Pressures
    “... practical research and conservation work. Using machine learning methods and the best-available data from...”
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  5. 1065
    Author Correction: Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning
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  6. 1066
    Predicting neurological Adverse Drug Reactions based on biological, chemical and phenotypic properties of drugs using machine learning models
    “... employed relief-based feature selection technique to identify relevant properties and used machine learning...”
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  7. 1067
    Machine-learning based reconstructions of primary and secondary climate variables from North American and European fossil pollen data
    “... American and European fossil pollen data, using both classical methods and newer machine-learning...”
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  8. 1068
    Elucidating the constitutive relationship of calcium–silicate–hydrate gel using high throughput reactive molecular simulations and machine learning
    “...Abstract Prediction of material behavior using machine learning (ML) requires consistent, accurate...”
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  9. 1069
    Machine Learning-Assisted Network Inference Approach to Identify a New Class of Genes that Coordinate the Functionality of Cancer Networks
    “... a Machine Learning-Assisted Network Inference (MALANI) algorithm, which assesses all genes...”
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  10. 1070
    Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methods
    “...Abstract We investigated whether machine learning methods could potentially identify a subgroup...”
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  11. 1071
    Localizing a target inside an enclosed cylinder with a single chaotic cavity transducer augmented with supervised machine learning
    “... convolutional neural network-based machine learning approach to study the feasibility of employing one single...”
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  12. 1072
    AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well?
    Materias: “...machine learning...”
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  13. 1073
    Machine Learning Classification of Mild Traumatic Brain Injury Using Whole-Brain Functional Activity: A Radiomics Analysis
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  14. 1074
    Using blood data for the differential diagnosis and prognosis of motor neuron diseases: a new dataset for machine learning applications
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  15. 1075
    A machine learning method based on the genetic and world competitive contests algorithms for selecting genes or features in biological applications
    “... machine learning techniques. It also plays a critical role in different biological applications...”
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  16. 1076
    African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning
    “... and 50 cm) and using 2-scale 3D Ensemble Machine Learning framework implemented in the mlr (Machine...”
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  17. 1077
    Machine learning, transcriptome, and genotyping chip analyses provide insights into SNP markers identifying flower color in Platycodon grandiflorus
    “... color in bellflower plants, a transcriptome-wide approach based on machine learning, transcriptome...”
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  18. 1078
    Multitask fMRI and machine learning approach improve prediction of differential brain activity pattern in patients with insomnia disorder
    “... generated from BOLD responses to single-task fMRI using machine learning methods. In 19 patients with PI...”
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  19. 1079
    Application of the random forest algorithm to Streptococcus pyogenes response regulator allele variation: from machine learning to evolutionary models
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  20. 1080
    COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images
    “... that machine learning-based classifiers can reliably distinguish the CXR images of COVID-19 patients from other...”
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