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26491 |
Risk factors and machine learning prediction models for intrahepatic cholestasis of pregnancy
Enthalten in BMC pregnancy and childbirth Bd. 25, 30.1.2025, Nr. 1, date:12.2025: 1-20
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26492 |
Risk factors and predictive models for post-operative moderate-to-severe mitral regurgitation following transcatheter aortic valve replacement: a machine learning approach
Enthalten in BMC cardiovascular disorders Bd. 25, 10.5.2025, Nr. 1, date:12.2025: 1-12
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26493 |
Risk factors and socio-economic burden in pancreatic ductal adenocarcinoma operation: a machine learning based analysis
Enthalten in BMC cancer Bd. 20, 27.11.2020, Nr. 1, date:12.2020: 1-12
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26494 |
Risk Factors Associated with COVID-19 Lethality: A Machine Learning Approach Using Mexico Database
Enthalten in Journal of medical systems Bd. 47, 19.8.2023, Nr. 1, date:12.2023: 1-11
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26495 |
Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse
Enthalten in Intensive Care Medicine Experimental Bd. 9, 28.6.2021, Nr. 1, date:12.2021: 1-15
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26496 |
Risk factors for cardiovascular disease in patients with metabolic-associated fatty liver disease: a machine learning approach
Enthalten in Cardiovascular diabetology Bd. 21, 12.11.2022, Nr. 1, date:12.2022: 1-12
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26497 |
Risk factors for the time to development of retinopathy of prematurity in premature infants in Iran: a machine learning approach
Enthalten in BMC ophthalmology Bd. 24, 23.8.2024, Nr. 1, date:12.2024: 1-16
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26498 |
Risk of bias of prognostic models developed using machine learning: a systematic review in oncology
Enthalten in Diagnostic and prognostic research Bd. 6, 7.7.2022, Nr. 1, date:12.2022: 1-14
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|
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26499 |
Risk prediction for delayed clearance of high-dose methotrexate in pediatric hematological malignancies by machine learning
Enthalten in International journal of hematology Bd. 114, 25.6.2021, Nr. 4, date:10.2021: 483-493
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26500 |
Risk prediction for malignant intraductal papillary mucinous neoplasm of the pancreas: logistic regression versus machine learning
Enthalten in Scientific reports Bd. 10, 18.11.2020, Nr. 1, date:12.2020: 1-8
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