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11561 |
Prediction of preterm birth in multiparous women using logistic regression and machine learning approaches
Enthalten in Scientific reports Bd. 14, 20.9.2024, Nr. 1, date:12.2024: 1-9
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11562 |
Prediction of preterm birth using machine learning: a comprehensive analysis based on large-scale preschool children survey data in Shenzhen of China
Enthalten in BMC pregnancy and childbirth Bd. 24, 4.12.2024, Nr. 1, date:12.2024: 1-14
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11563 |
Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques
Enthalten in Journal of Big Data Bd. 7, 26.8.2020, Nr. 1, date:12.2020: 1-22
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11564 |
Prediction of prognosis in elderly patients with sepsis based on machine learning (random survival forest)
Enthalten in BMC emergency medicine Bd. 22, 11.2.2022, Nr. 1, date:12.2022: 1-10
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11565 |
Prediction of prognosis in patients with cerebral contusions based on machine learning
Enthalten in Scientific reports Bd. 14, 30.12.2024, Nr. 1, date:12.2024: 1-12
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11566 |
Prediction of prognosis of immune checkpoint inhibitors combined with anti-angiogenic agents for unresectable hepatocellular carcinoma by machine learning-based radiomics
Enthalten in BMC cancer Bd. 25, 19.5.2025, Nr. 1, date:12.2025: 1-18
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11567 |
Prediction of prognosis, efficacy of lung adenocarcinoma by machine learning model based on immune and metabolic related genes
Enthalten in Discover oncology Bd. 15, 18.12.2024, Nr. 1, date:12.2024: 1-16
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11568 |
Prediction of prolonged mechanical ventilation in the intensive care unit via machine learning: a COVID-19 perspective
Enthalten in Scientific reports Bd. 14, 4.12.2024, Nr. 1, date:12.2024: 1-12
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11569 |
Prediction of prostate biopsy outcomes at different cut-offs of prostate-specific antigen using machine learning: a multicenter study
Enthalten in Egyptian National Cancer Institute (al-Qāhira): Journal of the Egyptian National Cancer Institute Bd. 37, 17.3.2025, Nr. 1, date:12.2025: 1-8
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11570 |
Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning
Enthalten in Nature biotechnology Bd. 40, 23.5.2022, Nr. 10, date:10.2022: 1520-1527
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Administration
