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10841 |
Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methods
Enthalten in Scientific reports Bd. 8, 4.10.2018, Nr. 1, date:12.2018: 1-7
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10842 |
Potential of machine learning approaches for predicting mechanical properties of spruce wood in the transverse direction
Enthalten in Journal of wood science Bd. 69, 25.6.2023, Nr. 1, date:12.2023: 1-13
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10843 |
Potential of MR-based radiomics and optimized statistical machine learning in grading patients with glioma
Enthalten in The Egyptian Journal of Radiology and Nuclear Medicine Bd. 56, 17.3.2025, Nr. 1, date:12.2025: 1-12
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10844 |
Potential of quantum machine learning for solving the real-world problem of cancer classification
Enthalten in Discover applied sciences Bd. 6, 27.9.2024, Nr. 10, date:10.2024: 1-12
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10845 |
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices
Enthalten in BMC bioinformatics Bd. 21, 14.12.2020, Nr. 17, date:12.2020: 1-19
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10846 |
Potential progression biomarkers of diabetic kidney disease determined using comprehensive machine learning analysis of non-targeted metabolomics
Enthalten in Scientific reports Bd. 12, 29.9.2022, Nr. 1, date:12.2022: 1-13
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10847 |
Potential shared mechanisms in atopic dermatitis and type 2 diabetes identified via transcriptomic and machine learning approaches
Enthalten in Scientific reports Bd. 14, 16.12.2024, Nr. 1, date:12.2024: 1-15
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10848 |
Potential suicide risk among the college student population: machine learning approaches for identifying predictors and different students’ risk profiles
Enthalten in Psicologia Bd. 37, 17.5.2024, Nr. 1, date:12.2024: 1-12
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10849 |
Potential value of mitochondrial regulatory pathways in the clinical application of clear cell renal cell carcinoma: a machine learning-based study
Enthalten in Journal of cancer research and clinical oncology Bd. 149, 25.9.2023, Nr. 19, date:12.2023: 17015-17026
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10850 |
Poverty Mapping in India using Machine Learning and Deep Learning Techniques
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4-2024, 2024: 319-326. 8 S.
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