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11341 |
Predicting largest expected aftershock ground motions using automated machine learning (AutoML)-based scheme Enthalten in Scientific reports Bd. 15, 6.1.2025, Nr. 1, date:12.2025: 1-14
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11342 |
Predicting life engagement and happiness from gaming motives and primary emotional traits before and during the COVID pandemic: a machine learning approach Enthalten in Discover psychology Bd. 4, 24.6.2024, Nr. 1, date:12.2024: 1-16
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11343 |
Predicting long-term patency of radiocephalic arteriovenous fistulas with machine learning and the PREDICT-AVF web app Enthalten in Scientific reports Bd. 15, 1.6.2025, Nr. 1, date:12.2025: 1-7
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11344 |
Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study Enthalten in BMC pregnancy and childbirth Bd. 25, 19.3.2025, Nr. 1, date:12.2025: 1-9
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11345 |
Predicting low density lipoprotein cholesterol target attainment using machine learning in patients with coronary artery disease receiving moderate-dose statin therapy Enthalten in Scientific reports Bd. 15, 13.2.2025, Nr. 1, date:12.2025: 1-13
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11346 |
Predicting low ionospheric parameters and low frequency sky wave propagation strength using machine learning Enthalten in Scientific reports Bd. 15, 3.2.2025, Nr. 1, date:12.2025: 1-16
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11347 |
Predicting major adverse cardiac events in diabetes and chronic kidney disease: a machine learning study from the Silesia Diabetes-Heart Project Enthalten in Cardiovascular diabetology Bd. 24, 15.2.2025, Nr. 1, date:12.2025: 1-12
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11348 |
Predicting maternal risk level using machine learning models Enthalten in BMC pregnancy and childbirth Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-21
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11349 |
Predicting maximum temperatures over India 10-days ahead using machine learning models Enthalten in Scientific reports Bd. 13, 11.10.2023, Nr. 1, date:12.2023: 1-14
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11350 |
Predicting mental and psychomotor delay in very pre-term infants using machine learning Enthalten in Pediatric research Bd. 95, 27.7.2023, Nr. 3, date:2.2024: 668-678
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