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26081 |
Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea
Enthalten in BMC public health Bd. 22, 6.4.2022, Nr. 1, date:12.2022: 1-10
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26082 |
Prediction of metabolic syndrome using machine learning approaches based on genetic and nutritional factors: a 14-year prospective-based cohort study
Enthalten in BMC medical genomics Bd. 17, 4.9.2024, Nr. 1, date:12.2024: 1-14
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26083 |
Prediction of microvascular obstruction from angio-based microvascular resistance and available clinical data in percutaneous coronary intervention: an explainable machine learning model
Enthalten in Scientific reports Bd. 15, 24.1.2025, Nr. 1, date:12.2025: 1-10
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26084 |
Prediction of milling performance of thermally modified wood based on machine learning
Enthalten in Holz als Roh- und Werkstoff Bd. 83, 19.2.2025, Nr. 2, date:4.2025: 1-11
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26085 |
Prediction of missing temperature data using different machine learning methods
Enthalten in Arabian journal of geosciences Bd. 15, 22.12.2021, Nr. 1, date:1.2022: 1-11
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26086 |
Prediction of moderate to severe bleeding risk in pediatric immune thrombocytopenia using machine learning
Enthalten in Zeitschrift für Kinderheilkunde Bd. 184, 7.4.2025, Nr. 5, date:5.2025: 1-9
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26087 |
Prediction of monthly dry days with machine learning algorithms: a case study in Northern Bangladesh
Enthalten in Scientific reports Bd. 12, 16.11.2022, Nr. 1, date:12.2022: 1-21
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26088 |
Prediction of mortality risk in patients with severe community-acquired pneumonia in the intensive care unit using machine learning
Enthalten in Scientific reports Bd. 15, 10.1.2025, Nr. 1, date:12.2025: 1-15
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26089 |
Prediction of mortality risk of health checkup participants using machine learning-based models: the J-SHC study
Enthalten in Scientific reports Bd. 12, 19.8.2022, Nr. 1, date:12.2022: 1-8
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26090 |
Prediction of motor and non-motor Parkinson’s disease symptoms using serum lipidomics and machine learning: a 2-year study
Enthalten in npj Parkinson's Disease Bd. 10, 25.6.2024, Nr. 1, date:12.2024: 1-9
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