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25781 |
Prediction of lipomatous soft tissue malignancy on MRI: comparison between machine learning applied to radiomics and deep learning
Enthalten in European radiology experimental Bd. 6, 8.9.2022, Nr. 1, date:12.2022: 1-8
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25782 |
Prediction of liquid–liquid phase separating proteins using machine learning
Enthalten in BMC bioinformatics Bd. 23, 15.2.2022, Nr. 1, date:12.2022: 1-13
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25783 |
Prediction of long-term hospitalisation and all-cause mortality in patients with chronic heart failure on Dutch claims data: a machine learning approach
Enthalten in BMC medical informatics and decision making Bd. 21, 1.11.2021, Nr. 1, date:12.2021: 1-13
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25784 |
Prediction of long-term mortality by using machine learning models in Chinese patients with connective tissue disease-associated interstitial lung disease
Enthalten in Respiratory research Bd. 23, 7.1.2022, Nr. 1, date:12.2022: 1-11
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25785 |
Prediction of longitudinal surface settlement in composite formation using large-diameter shield machine based on machine learning techniques
Enthalten in Frontiers of structural and civil engineering Bd. 18, 4.12.2024, Nr. 12, date:12.2024: 1922-1936
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25786 |
Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania
Enthalten in BMC pregnancy and childbirth Bd. 22, 1.4.2022, Nr. 1, date:12.2022: 1-14
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25787 |
Prediction of lumbar vertebral strength of elderly men based on quantitative computed tomography images using machine learning
Enthalten in Osteoporosis international Bd. 30, 10.8.2019, Nr. 11, date:11.2019: 2271-2282
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25788 |
Prediction of lung papillary adenocarcinoma-specific survival using ensemble machine learning models
Enthalten in Scientific reports Bd. 13, 8.9.2023, Nr. 1, date:12.2023: 1-8
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25789 |
Prediction of lung tumor types based on protein attributes by machine learning algorithms
Enthalten in SpringerPlus Bd. 2, 24.5.2013, Nr. 1, date:12.2013: 1-14
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25790 |
Prediction of malignant lymph nodes in NSCLC by machine-learning classifiers using EBUS-TBNA and PET/CT
Enthalten in Scientific reports Bd. 12, 20.10.2022, Nr. 1, date:12.2022: 1-13
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