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13781 |
Utilizing Machine Learning-based Classification Models for Tracking Air Pollution Sources: A Case Study in Korea
Enthalten in Aerosol and Air Quality Research Bd. 24, 17.5.2024, Nr. 7, date:7.2024: 1-11
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|
|
|
13782 |
Utilizing machine learning-based QSAR model to overcome standalone consensus docking limitation in beta-lactamase inhibitors screening: a proof-of-concept study
Enthalten in BMC chemistry Bd. 18, 20.12.2024, Nr. 1, date:12.2024: 1-16
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13783 |
Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department
Enthalten in BMC medical research methodology Bd. 21, 17.4.2021, Nr. 1, date:12.2021: 1-13
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13784 |
Utilizing machine learning for flow zone indicators prediction and hydraulic flow unit classification
Enthalten in Scientific reports Bd. 14, 20.2.2024, Nr. 1, date:12.2024: 1-29
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|
13785 |
Utilizing machine learning models for predicting outcomes in acute pancreatitis: development and validation in three retrospective cohorts
Enthalten in BMC medical informatics and decision making Bd. 25, 11.7.2025, Nr. 1, date:12.2025: 1-22
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13786 |
Utilizing machine learning to analyze trunk movement patterns in women with postpartum low back pain
Enthalten in Scientific reports Bd. 14, 12.8.2024, Nr. 1, date:12.2024: 1-24
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|
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|
13787 |
Utilizing machine learning to facilitate the early diagnosis of posterior circulation stroke
Enthalten in BMC neurology Bd. 24, 7.5.2024, Nr. 1, date:12.2024: 1-12
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|
|
|
13788 |
Utilizing machine learning to identify fall predictors in India's aging population: findings from the LASI
Enthalten in BMC geriatrics Bd. 25, 17.3.2025, Nr. 1, date:12.2025: 1-11
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|
13789 |
Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine)
Enthalten in Scientific reports Bd. 15, 24.1.2025, Nr. 1, date:12.2025: 1-13
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|
13790 |
Utilizing machine learning to predict MRI signal outputs from iron oxide nanoparticles through the PSLG algorithm
Enthalten in Scientific reports Bd. 15, 16.7.2025, Nr. 1, date:12.2025: 1-13
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Administration
