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15481 |
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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|
|
|
15482 |
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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15483 |
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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15484 |
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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15485 |
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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15486 |
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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15487 |
Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study
Enthalten in BMC neurology Bd. 22, 27.5.2022, Nr. 1, date:12.2022: 1-9
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15488 |
Risk prediction of cholangitis after stent implantation based on machine learning
Enthalten in Scientific reports Bd. 14, 14.6.2024, Nr. 1, date:12.2024: 1-11
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15489 |
Risk prediction of hyperuricemia based on particle swarm fusion machine learning solely dependent on routine blood tests
Enthalten in BMC medical informatics and decision making Bd. 25, 14.3.2025, Nr. 1, date:12.2025: 1-15
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15490 |
Risk prediction of inappropriate implantable cardioverter-defibrillator therapy using machine learning
Enthalten in Scientific reports Bd. 13, 9.11.2023, Nr. 1, date:12.2023: 1-10
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Administration
