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11071 |
Prediction of acute kidney injury risk after cardiac surgery: using a hybrid machine learning algorithm
Enthalten in BMC medical informatics and decision making Bd. 22, 18.5.2022, Nr. 1, date:12.2022: 1-10
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11072 |
Prediction of acute respiratory infections using machine learning techniques in Amhara Region, Ethiopia
Enthalten in Scientific reports Bd. 14, 14.11.2024, Nr. 1, date:12.2024: 1-15
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11073 |
Prediction of adolescent depression from prenatal and childhood data from ALSPAC using machine learning
Enthalten in Scientific reports Bd. 14, 7.10.2024, Nr. 1, date:12.2024: 1-13
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11074 |
Prediction of adolescent weight status by machine learning: a population-based study
Enthalten in BMC public health Bd. 24, 20.5.2024, Nr. 1, date:12.2024: 1-13
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11075 |
Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection
Enthalten in BMC medical informatics and decision making Bd. 14, 23.8.2014, Nr. 1, date:12.2014: 1-9
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11076 |
Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda
Enthalten in BMC medical informatics and decision making Bd. 25, 12.2.2025, Nr. 1, date:12.2025: 1-13
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11077 |
Prediction of Aircraft Arrival Runway Occupancy Time Based on Machine Learning
Enthalten in International journal of computational intelligence systems Bd. 16, 18.9.2023, Nr. 1, date:12.2023: 1-14
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11078 |
Prediction of alkali-silica reaction expansion of concrete using explainable machine learning methods
Enthalten in Discover applied sciences Bd. 7, 26.4.2025, Nr. 5, date:5.2025: 1-20
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11079 |
Prediction of all-cause mortality in coronary artery disease patients with atrial fibrillation based on machine learning models
Enthalten in BMC cardiovascular disorders Bd. 21, 16.10.2021, Nr. 1, date:12.2021: 1-12
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11080 |
Prediction of amyloid β PET positivity using machine learning in patients with suspected cerebral amyloid angiopathy markers
Enthalten in Scientific reports Bd. 10, 2.11.2020, Nr. 1, date:12.2020: 1-10
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Administration
