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Ergebnis der Suche nach: "Machine Learning"
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11661 - 11670 von 12255
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Artikel 11661 The artificial intelligence and machine learning in lung cancer immunotherapy
Enthalten in Journal of hematology & oncology Bd. 16, 24.5.2023, Nr. 1, date:12.2023: 1-18
Online Ressource
Artikel 11662 The association of Coronavirus Disease-19 mortality and prior bacille Calmette-Guerin vaccination: a robust ecological analysis using unsupervised machine learning
Enthalten in Scientific reports Bd. 11, 12.1.2021, Nr. 1, date:12.2021: 1-9
Online Ressource
Artikel 11663 The association of lifestyle with cardiovascular and all-cause mortality based on machine learning: a prospective study from the NHANES
Enthalten in BMC public health Bd. 25, 24.1.2025, Nr. 1, date:12.2025: 1-10
Online Ressource
Artikel 11664 The atmospheric boundary layer: a review of current challenges and a new generation of machine learning techniques
Enthalten in Artificial intelligence review Bd. 57, 17.10.2024, Nr. 12, date:12.2024: 1-51
Online Ressource
Artikel 11665 The BCPM method: decoding breast cancer with machine learning
Enthalten in BMC medical imaging Bd. 24, 17.9.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 11666 The benefits and pitfalls of machine learning for biomarker discovery
Enthalten in Cell & tissue research Bd. 394, 27.7.2023, Nr. 1, date:10.2023: 17-31
Online Ressource
Artikel 11667 The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data
Enthalten in BioData Mining Bd. 17, 21.5.2024, Nr. 1, date:12.2024: 1-17
Online Ressource
Artikel 11668 The BrAID study protocol: integration of machine learning and transcriptomics for brugada syndrome recognition
Enthalten in BMC cardiovascular disorders Bd. 21, 13.10.2021, Nr. 1, date:12.2021: 1-8
Online Ressource
Artikel 11669 The BSM-AI project: SUSY-AI–generalizing LHC limits on supersymmetry with machine learning
Enthalten in The European physical journal / C / Particles and fields Bd. 77, 24.4.2017, Nr. 4, date:4.2017: 1-25
Online Ressource
Artikel 11670 The classification of leek seeds based on fluorescence spectroscopic data using machine learning
Enthalten in European food research and technology Bd. 249, 12.9.2023, Nr. 12, date:12.2023: 3217-3226
Online Ressource


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