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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

26941 - 26950 von 32709
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Artikel 26941 Machine learning to investigate policy-relevant social determinants of health and suicide rates in the United States
Enthalten in Nature Mental Health Bd. 3, 12.5.2025, Nr. 6, date:6.2025: 675-684
Online Ressource
Artikel 26942 Machine learning to optimize literature screening in medical guideline development
Enthalten in Systematic Reviews Bd. 13, 11.7.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 26943 Machine learning to parse breast pathology reports in Chinese
Enthalten in Breast cancer research and treatment Bd. 169, 29.1.2018, Nr. 2, date:6.2018: 243-250
Online Ressource
Artikel 26944 Machine Learning to Predict Adult Cochlear Implant Candidacy
Enthalten in Current otorhinolaryngology reports Bd. 12, 31.5.2024, Nr. 3, date:9.2024: 45-49
Online Ressource
Artikel 26945 Machine learning to predict bacteriuria in the emergency department
Enthalten in Scientific reports Bd. 15, 24.8.2025, Nr. 1, date:12.2025: 1-11
Online Ressource
Artikel 26946 Machine learning to predict early TNF inhibitor users in patients with ankylosing spondylitis
Enthalten in Scientific reports Bd. 10, 20.11.2020, Nr. 1, date:12.2020: 1-9
Online Ressource
Artikel 26947 Machine learning to predict gut microbiomes of agricultural pests
Enthalten in Neural computing & applications Bd. 37, 21.2.2025, Nr. 14, date:5.2025: 8435-8449
Online Ressource
Artikel 26948 Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenation
Enthalten in Critical care Bd. 24, 10.12.2020, Nr. 1, date:12.2020: 1-3
Online Ressource
Artikel 26949 Machine learning to predict interface adhesion between dissimilar materials in multi-material extrusion additive manufacturing
Enthalten in The international journal of advanced manufacturing technology Bd. 138, 30.5.2025, Nr. 9-10, date:6.2025: 4577-4592
Online Ressource
Artikel 26950 Machine learning to predict late respiratory support in preterm infants: a retrospective cohort study
Enthalten in Scientific reports Bd. 13, 17.2.2023, Nr. 1, date:12.2023: 1-9
Online Ressource


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