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Ergebnis der Suche nach: "Machine Learning"
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25601 - 25610 von 28921
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Artikel 25601 Predicting responses to platin chemotherapy agents with biochemically-inspired machine learning
Enthalten in Signal transduction and targeted therapy Bd. 4, 11.1.2019, Nr. 1, date:12.2019: 1-12
Online Ressource
Artikel 25602 Predicting responsiveness to fixed-dose methylene blue in adult patients with septic shock using interpretable machine learning: a retrospective study
Enthalten in Scientific reports Bd. 15, 1.3.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 25603 Predicting restriction of life-space mobility: a machine learning analysis of the IMIAS study
Enthalten in Aging clinical and experimental research Bd. 34, 7.9.2022, Nr. 11, date:11.2022: 2761-2768
Online Ressource
Artikel 25604 Predicting retracted research: a dataset and machine learning approaches
Enthalten in Research integrity and peer review Bd. 10, 11.6.2025, Nr. 1, date:12.2025: 1-10
Online Ressource
Artikel 25605 Predicting rheumatoid arthritis progression from seronegative undifferentiated arthritis using machine learning: a deep learning model trained on the KURAMA cohort and externally validated with the ANSWER cohort
Enthalten in Arthritis Research & Therapy Bd. 27, 26.3.2025, Nr. 1, date:12.2025: 1-10
Online Ressource
Artikel 25606 Predicting rice blast disease: machine learning versus process-based models
Enthalten in BMC bioinformatics Bd. 20, 22.10.2019, Nr. 1, date:12.2019: 1-16
Online Ressource
Artikel 25607 Predicting risk of sepsis, comparison between machine learning methods: a case study of a Virginia hospital
Enthalten in European journal of medical research Bd. 27, 28.10.2022, Nr. 1, date:12.2022: 1-13
Online Ressource
Artikel 25608 Predicting risk of stillbirth and preterm pregnancies with machine learning
Enthalten in Health Information Science and Systems Bd. 8, 25.3.2020, Nr. 1, date:12.2020: 1-12
Online Ressource
Artikel 25609 Predicting river sediment deposition using machine learning and InVEST-SDR modeling- A hydro electric perspective
Enthalten in Earth science informatics Bd. 18, 11.12.2024, Nr. 1, date:1.2025: 1-13
Online Ressource
Artikel 25610 Predicting rock mass strength from drilling data using synergistic unsupervised and supervised machine learning approaches
Enthalten in Earth science informatics Bd. 18, 12.3.2025, Nr. 3, date:9.2025: 1-15
Online Ressource


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