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11291 |
Predicting early mortality and severe intraventricular hemorrhage in very-low birth weight preterm infants: a nationwide, multicenter study using machine learning
Enthalten in Scientific reports Bd. 14, 12.5.2024, Nr. 1, date:12.2024: 1-11
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11292 |
Predicting early postoperative PONV using multiple machine-learning- and deep-learning-algorithms
Enthalten in BMC medical research methodology Bd. 23, 31.5.2023, Nr. 1, date:12.2023: 1-9
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11293 |
Predicting Early recurrence of atrial fibrilation post-catheter ablation using machine learning techniques
Enthalten in BMC cardiovascular disorders Bd. 24, 19.12.2024, Nr. 1, date:12.2024: 1-11
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11294 |
Predicting edge cracking in sheet metal forming: evaluating machine learning models and data transformations
Enthalten in The international journal of advanced manufacturing technology Bd. 138, 19.5.2025, Nr. 7-8, date:6.2025: 3089-3107
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11295 |
Predicting elastic and plastic properties of small iron polycrystals by machine learning
Enthalten in Scientific reports Bd. 13, 26.8.2023, Nr. 1, date:12.2023: 1-19
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11296 |
Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study
Enthalten in BMC emergency medicine Bd. 25, 6.1.2025, Nr. 1, date:12.2025: 1-11
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11297 |
Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach
Enthalten in BMC bioinformatics Bd. 22, 30.11.2021, Nr. 1, date:12.2021: 1-25
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11298 |
Predicting European cities’ climate mitigation performance using machine learning
Enthalten in Nature Communications Bd. 13, 5.12.2022, Nr. 1, date:12.2022: 1-13
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11299 |
Predicting executive functioning from walking features in Parkinson’s disease using machine learning
Enthalten in Scientific reports Bd. 14, 27.11.2024, Nr. 1, date:12.2024: 1-9
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11300 |
Predicting factors for survival of breast cancer patients using machine learning techniques
Enthalten in BMC medical informatics and decision making Bd. 19, 22.3.2019, Nr. 1, date:12.2019: 1-17
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