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11391 |
Risk factor assessment of prediabetes and diabetes based on epidemic characteristics in new urban areas: a retrospective and a machine learning study
Enthalten in Scientific reports Bd. 15, 30.1.2025, Nr. 1, date:12.2025: 1-10
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11392 |
Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study
Enthalten in BMC medical informatics and decision making Bd. 23, 31.8.2023, Nr. 1, date:12.2023: 1-17
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11393 |
Risk factors affecting patients survival with colorectal cancer in Morocco: survival analysis using an interpretable machine learning approach
Enthalten in Scientific reports Bd. 14, 12.2.2024, Nr. 1, date:12.2024: 1-13
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11394 |
Risk factors and geographic disparities in premature cardiovascular mortality in US counties: a machine learning approach
Enthalten in Scientific reports Bd. 13, 20.2.2023, Nr. 1, date:12.2023: 1-11
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11395 |
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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11396 |
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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11397 |
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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11398 |
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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11399 |
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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11400 |
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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