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Neuigkeiten 24. Dezember 2025 bis 1. Januar 2026: Die Deutsche Nationalbibliothek bleibt an beiden Standorten geschlossen. // 24 December 2025 to 1 January 2026: The German National Library will be closed at both locations.
 
 
 


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

201 - 210 von 32606
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Artikel 201 MSK – Osteoporose-Screening mit CT und maschinellem Lernen
Enthalten in RöFo Bd. 197, 2025, Nr. 01: 14-15
Online Ressource
Artikel 202 Real-World Evidence: Integrating Machine Learning with Real-World Big Data for Predictive Analytics in Healthcare
Enthalten in Cardiology Bd. 150, 2025, Nr. 2: 145-146. 2 S.
Online Ressource
Artikel 203 Prediction of 28-Day All-Cause Mortality in Heart Failure Patients with Clostridioides difficile Infection Using Machine Learning Models: Evidence from the MIMIC-IV Database
Enthalten in Cardiology Bd. 150, 2025, Nr. 2: 133-144. 12 S.
Online Ressource
Artikel 204 The Efficacy of Machine Learning Models for Predicting the Prognosis of Heart Failure: A Systematic Review and Meta-Analysis
Enthalten in Cardiology Bd. 150, 2025, Nr. 1: 79-97. 19 S.
Online Ressource
Artikel 205 Real-Time Cardiac Abnormality Monitoring and Nursing for Patient Using Electrocardiographic Signals
Enthalten in Cardiology Bd. 150, 2025, Nr. 1: 25-35. 11 S.
Online Ressource
Artikel 206 Toward Clinically Actionable Machine Learning and Artificial Intelligence Algorithms in Acute Leukemia: A Systematic Narrative Review
Enthalten in Acta haematologica Bd. 148, 2025, Nr. 5: 583-599. 17 S.
Online Ressource
Artikel 207 Machine Learning Application for Bleeding Risk Prediction in Patients with Atrial Fibrillation Treated with Oral Anticoagulation
Enthalten in Acta haematologica Bd. 148, 2025, Nr. 5: 575-582. 8 S.
Online Ressource
Artikel 208 Artificial Intelligence in Hemophilia Management: Revolutionizing Patient Care and Future Directions
Enthalten in Acta haematologica Bd. 148, 2025, Nr. 5: 546-555. 10 S.
Online Ressource
Artikel 209 AI Applications in Transfusion Medicine: Opportunities, Challenges, and Future Directions
Enthalten in Acta haematologica Bd. 148, 2025, Nr. 5: 516-526. 11 S.
Online Ressource
Artikel 210 Capturing the Complexities of Catalyst–Support Interactions with the Help of Machine Learning
Enthalten in Angewandte Chemie Bd. 137, 2025, Nr. 49. 2 S.
Online Ressource


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