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11301 |
Prognostic subgroups of chronic pain patients using latent variable mixture modeling within a supervised machine learning framework
Enthalten in Scientific reports Bd. 14, 31.5.2024, Nr. 1, date:12.2024: 1-12
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11302 |
Prognostic value of glycaemic variability for mortality in critically ill atrial fibrillation patients and mortality prediction model using machine learning
Enthalten in Cardiovascular diabetology Bd. 23, 26.11.2024, Nr. 1, date:12.2024: 1-15
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11303 |
Prognostic value of texture analysis from cardiac magnetic resonance imaging in patients with Takotsubo syndrome: a machine learning based proof-of-principle approach
Enthalten in Scientific reports Bd. 10, 25.11.2020, Nr. 1, date:12.2020: 1-9
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11304 |
Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning
Enthalten in Scientific reports Bd. 8, 26.7.2018, Nr. 1, date:12.2018: 1-19
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11305 |
Progress on climate action: a multilingual machine learning analysis of the global stocktake
Enthalten in Climatic change Bd. 176, 8.12.2023, Nr. 12, date:12.2023: 1-12
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11306 |
Progressive transfer learning for advancing machine learning-based reduced-order modeling
Enthalten in Scientific reports Bd. 14, 8.7.2024, Nr. 1, date:12.2024: 1-13
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11307 |
Projecting COVID-19 disease severity in cancer patients using purposefully-designed machine learning
Enthalten in BMC infectious diseases Bd. 21, 4.5.2021, Nr. 1, date:12.2021: 1-8
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11308 |
Proof of concept of the potential of a machine learning algorithm to extract new information from conventional SARS-CoV-2 rRT-PCR results
Enthalten in Scientific reports Bd. 13, 13.5.2023, Nr. 1, date:12.2023: 1-13
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11309 |
Proof of concept study on early forecasting of antimicrobial resistance in hospitalized patients using machine learning and simple bacterial ecology data
Enthalten in Scientific reports Bd. 14, 30.9.2024, Nr. 1, date:12.2024: 1-16
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11310 |
Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data
Enthalten in BMC bioinformatics Bd. 25, 4.1.2024, Nr. 1, date:12.2024: 1-24
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Administration
