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15501 |
Rhesus infant nervous temperament predicts peri-adolescent central amygdala metabolism & behavioral inhibition measured by a machine-learning approach
Enthalten in Translational Psychiatry Bd. 14, 15.3.2024, Nr. 1, date:12.2024: 1-11
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15502 |
Rice plant disease diagnosing using machine learning techniques: a comprehensive review
Enthalten in SN applied sciences Bd. 4, 20.10.2022, Nr. 11, date:11.2022: 1-13
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15503 |
Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models
Enthalten in Scientific reports Bd. 14, 17.9.2024, Nr. 1, date:12.2024: 1-17
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15504 |
Riesgo de caídas en pacientes operados por fractura de fémur proximal sobre el año de cirugía
Enthalten in Revista chilena de ortopedia y traumatología Bd. 64, 2023, Nr. 02: e69-e75
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15505 |
Risk assessment and prediction of nosocomial infections based on surveillance data using machine learning methods
Enthalten in BMC public health Bd. 24, 4.7.2024, Nr. 1, date:12.2024: 1-9
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15506 |
Risk assessment of imported malaria in China: a machine learning perspective
Enthalten in BMC public health Bd. 24, 20.3.2024, Nr. 1, date:12.2024: 1-12
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15507 |
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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15508 |
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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15509 |
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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15510 |
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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