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"Machine Learning"
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26951 - 26960 von 32660
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26951
Machine learning using scRNA-seq Combined with bulk-seq to identify lactylation-related hub genes in carotid arteriosclerosis
Enthalten in Scientific reports Bd. 15, 22.5.2025, Nr. 1, date:12.2025: 1-19
26952
Machine learning validation of a simple prediction model for the correlation between advanced age and clinical outcomes in patients with aneurysmal subarachnoid hemorrhage
Enthalten in Neurosurgical review Bd. 48, 14.1.2025, Nr. 1, date:12.2025: 1-10
26953
Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study
Enthalten in Scientific reports Bd. 15, 20.1.2025, Nr. 1, date:12.2025: 1-14
26954
Machine learning vehicle fuel efficiency prediction
Enthalten in Scientific reports Bd. 15, 28.4.2025, Nr. 1, date:12.2025: 1-20
26955
Machine learning versus physicians’ prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictor
Enthalten in Critical care Bd. 23, 16.8.2019, Nr. 1, date:12.2019: 1-10
26956
Machine Learning Versus Semidefinite Programming Approach to a Particular Problem of the Theory of Open Quantum Systems
Enthalten in Lobachevskii journal of mathematics Bd. 42, 9.8.2021, Nr. 7, date:7.2021: 1622-1629
26957
Machine learning versus traditional risk stratification methods in acute coronary syndrome: a pooled randomized clinical trial analysis
Enthalten in Journal of thrombosis and thrombolysis Bd. 49, 18.9.2019, Nr. 1, date:1.2020: 1-9
26958
Machine learning via DARTS-Optimized MobileViT models for pancreatic Cancer diagnosis with graph-based deep learning
Enthalten in BMC medical informatics and decision making Bd. 25, 15.2.2025, Nr. 1, date:12.2025: 1-21
26959
Machine-learning vs. logistic regression for preoperative prediction of medical morbidity after fast-track hip and knee arthroplasty—a comparative study
Enthalten in BMC anesthesiology Bd. 23, 29.11.2023, Nr. 1, date:12.2023: 1-12
26960
Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU
Enthalten in Scientific reports Bd. 13, 10.11.2023, Nr. 1, date:12.2023: 1-9
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