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34061 |
Prediction of Polycyclic Aromatic Hydrocarbons (PAHs) Removal from Wastewater Treatment Sludge Using Machine Learning Methods
Enthalten in Water, air & soil pollution Bd. 232, 18.2.2021, Nr. 3, date:3.2021: 1-17
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34062 |
Prediction of positive pulmonary nodules based on machine learning algorithm combined with central carbon metabolism data
Enthalten in Journal of cancer research and clinical oncology Bd. 150, 25.1.2024, Nr. 2, date:2.2024: 1-11
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34063 |
Prediction of post-delivery hemoglobin levels with machine learning algorithms
Enthalten in Scientific reports Bd. 14, 17.6.2024, Nr. 1, date:12.2024: 1-10
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34064 |
Prediction of post-operative acute pancreatitis in children with pancreaticobiliary maljunction using machine learning model
Enthalten in Pediatric surgery international Bd. 39, 24.3.2023, Nr. 1, date:12.2023: 1-9
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34065 |
Prediction of post-stroke cognitive impairment after acute ischemic stroke using machine learning
Enthalten in Alzheimer's research & therapy Bd. 15, 31.8.2023, Nr. 1, date:12.2023: 1-10
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34066 |
Prediction of post-traumatic stress disorder in family members of ICU patients: a machine learning approach
Enthalten in Intensive care medicine Bd. 50, 19.12.2023, Nr. 1, date:1.2024: 114-124
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34067 |
Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning
Enthalten in BMC medical informatics and decision making Bd. 24, 6.1.2024, Nr. 1, date:12.2024: 1-14
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34068 |
Prediction of postpartum depression in women: development and validation of multiple machine learning models
Enthalten in Journal of translational medicine Bd. 23, 7.3.2025, Nr. 1, date:12.2025: 1-18
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34069 |
Prediction of poststroke independent walking using machine learning: a retrospective study
Enthalten in BMC neurology Bd. 24, 10.9.2024, Nr. 1, date:12.2024: 1-10
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34070 |
Prediction of potential occurrence of historical objects with defensive function in Slovakia using machine learning approach
Enthalten in Scientific reports Bd. 14, 5.12.2024, Nr. 1, date:12.2024: 1-13
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Administration
