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11971 |
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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11972 |
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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11973 |
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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11974 |
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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11975 |
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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11976 |
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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11977 |
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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11978 |
Utilizing machine learning to predict participant response to follow-up health surveys in the Millennium Cohort Study
Enthalten in Scientific reports Bd. 14, 28.10.2024, Nr. 1, date:12.2024: 1-12
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11979 |
Utilizing machine learning to predict post-treatment outcomes in chronic non-specific neck pain patients undergoing cervical extension traction
Enthalten in Scientific reports Bd. 14, 23.5.2024, Nr. 1, date:12.2024: 1-13
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11980 |
Utilizing Ni(II) complex for metal drug-gel particles in cervical cancer treatment and designing novel drugs through machine learning methods
Enthalten in Scientific reports Bd. 14, 5.3.2024, Nr. 1, date:12.2024: 1-9
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Administration
