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141 |
HERZ GEFÄßE – Prädiktion des koronaren Kalziumscores durch ein maschinelles Lernmodell
Enthalten in RöFo Bd. 197, 2025, Nr. 05: 500-500
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142 |
Kommentar zu „MSK – Osteoporose-Screening mit CT und maschinellem Lernen“
Enthalten in RöFo Bd. 197, 2025, Nr. 01: 15-16
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143 |
MSK – Osteoporose-Screening mit CT und maschinellem Lernen
Enthalten in RöFo Bd. 197, 2025, Nr. 01: 14-15
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144 |
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.
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145 |
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.
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146 |
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.
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147 |
Real-Time Cardiac Abnormality Monitoring and Nursing for Patient Using Electrocardiographic Signals
Enthalten in Cardiology Bd. 150, 2025, Nr. 1: 25-35. 11 S.
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148 |
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.
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149 |
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.
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150 |
Artificial Intelligence in Hemophilia Management: Revolutionizing Patient Care and Future Directions
Enthalten in Acta haematologica Bd. 148, 2025, Nr. 5: 546-555. 10 S.
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Administration
