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11331 |
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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|
|
11332 |
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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11333 |
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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11334 |
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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11335 |
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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11336 |
Predicting mental health disparities using machine learning for African Americans in Southeastern Virginia
Enthalten in Scientific reports Bd. 15, 18.2.2025, Nr. 1, date:12.2025: 1-14
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|
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11337 |
Predicting metabolic dysfunction associated steatotic liver disease using explainable machine learning methods
Enthalten in Scientific reports Bd. 15, 11.4.2025, Nr. 1, date:12.2025: 1-13
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11338 |
Predicting metastasis in gastric cancer patients: machine learning-based approaches
Enthalten in Scientific reports Bd. 13, 13.3.2023, Nr. 1, date:12.2023: 1-12
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11339 |
Predicting mine water inflow volumes using a decomposition-optimization algorithm-machine learning approach
Enthalten in Scientific reports Bd. 14, 1.8.2024, Nr. 1, date:12.2024: 1-18
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11340 |
Predicting missed health care visits during the COVID-19 pandemic using machine learning methods: evidence from 55,500 individuals from 28 European countries
Enthalten in BMC health services research Bd. 23, 25.5.2023, Nr. 1, date:12.2023: 1-12
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