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Ergebnis der Suche nach: "Machine Learning"
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15891 - 15900 von 16514
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Artikel 15891 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 15892 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 15893 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 15894 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 15895 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 15896 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
Artikel 15897 The company we keep. Using hemodialysis social network data to classify patients’ kidney transplant attitudes with machine learning algorithms
Enthalten in BMC nephrology Bd. 23, 29.12.2022, Nr. 1, date:12.2022: 1-12
Online Ressource
Artikel 15898 The construction of machine learning-based predictive models for high-quality embryo formation in poor ovarian response patients with progestin-primed ovarian stimulation
Enthalten in Reproductive biology and endocrinology Bd. 22, 10.7.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 15899 The CT-based intratumoral and peritumoral machine learning radiomics analysis in predicting lymph node metastasis in rectal carcinoma
Enthalten in BMC gastroenterology Bd. 22, 16.11.2022, Nr. 1, date:12.2022: 1-8
Online Ressource
Artikel 15900 The CT delta-radiomics based machine learning approach in evaluating multiple primary lung adenocarcinoma
Enthalten in BMC cancer Bd. 22, 3.9.2022, Nr. 1, date:12.2022: 1-8
Online Ressource


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