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26771 |
The use of machine learning to predict the effects of cryoprotective agents on the GelMA-based bioinks used in extrusion cryobioprinting
Enthalten in Bio-design and manufacturing Bd. 6, 14.6.2023, Nr. 4, date:7.2023: 464-477
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26772 |
The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models
Enthalten in Scientific reports Bd. 13, 14.11.2023, Nr. 1, date:12.2023: 1-15
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26773 |
The Utility of Machine Learning Models for Predicting Chemical Contaminants in Drinking Water: Promise, Challenges, and Opportunities
Enthalten in Current environmental health reports Bd. 10, 17.12.2022, Nr. 1, date:3.2023: 45-60
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26774 |
The value of CCTA combined with machine learning for predicting angina pectoris in the anomalous origin of the right coronary artery
Enthalten in Biomedical engineering online Bd. 23, 12.9.2024, Nr. 1, date:12.2024: 1-13
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26775 |
The value of linear and non-linear quantitative EEG analysis in paediatric epilepsy surgery: a machine learning approach
Enthalten in Scientific reports Bd. 14, 13.5.2024, Nr. 1, date:12.2024: 1-10
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26776 |
The value of machine learning approaches in the diagnosis of early gastric cancer: a systematic review and meta-analysis
Enthalten in World journal of surgical oncology Bd. 22, 1.2.2024, Nr. 1, date:12.2024: 1-13
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26777 |
The value of machine learning based on CT radiomics in the preoperative identification of peripheral nerve invasion in colorectal cancer: a two-center study
Enthalten in Insights into imaging Bd. 15, 5.4.2024, Nr. 1, date:12.2024: 1-11
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26778 |
The value of machine learning technology and artificial intelligence to enhance patient safety in spine surgery: a review
Enthalten in Patient safety in surgery Bd. 18, 25.3.2024, Nr. 1, date:12.2024: 1-6
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26779 |
The value of multiparametric MRI radiomics and machine learning in predicting preoperative Ki-67 expression level in breast cancer
Enthalten in BMC medical imaging Bd. 25, 7.1.2025, Nr. 1, date:12.2025: 1-9
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26780 |
The value of radiomics-based CT combined with machine learning in the diagnosis of occult vertebral fractures
Enthalten in BMC musculoskeletal disorders Bd. 24, 17.10.2023, Nr. 1, date:12.2023: 1-9
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