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11651 |
The anesthesiologist’s guide to critically assessing machine learning research: a narrative review
Enthalten in BMC anesthesiology Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-11
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11652 |
The application of different machine learning models based on PET/CT images and EGFR in predicting brain metastasis of adenocarcinoma of the lung
Enthalten in BMC cancer Bd. 24, 11.4.2024, Nr. 1, date:12.2024: 1-13
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11653 |
The application of fluorescence spectroscopy and machine learning as non-destructive approach to distinguish two different varieties of greenhouse tomatoes
Enthalten in European food research and technology Bd. 249, 8.9.2023, Nr. 12, date:12.2023: 3239-3245
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11654 |
The application of machine learning approaches to classify and predict fertility rate in Ethiopia
Enthalten in Scientific reports Bd. 15, 20.1.2025, Nr. 1, date:12.2025: 1-13
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11655 |
The application of machine learning approaches to determine the predictors of anemia among under five children in Ethiopia
Enthalten in Scientific reports Bd. 13, 21.12.2023, Nr. 1, date:12.2023: 1-10
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11656 |
The application of machine learning for identifying frailty in older patients during hospital admission
Enthalten in BMC medical informatics and decision making Bd. 24, 27.9.2024, Nr. 1, date:12.2024: 1-11
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11657 |
The application of machine learning methods for predicting the progression of adolescent idiopathic scoliosis: a systematic review
Enthalten in Biomedical engineering online Bd. 23, 8.8.2024, Nr. 1, date:12.2024: 1-15
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11658 |
The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis
Enthalten in npj digital medicine Bd. 7, 9.5.2024, Nr. 1, date:12.2024: 1-13
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11659 |
The application of time-to-event analysis in machine learning prognostic models
Enthalten in Journal of translational medicine Bd. 22, 12.2.2024, Nr. 1, date:12.2024: 1-2
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11660 |
The applications of machine learning in plastic and reconstructive surgery: protocol of a systematic review
Enthalten in Systematic Reviews Bd. 9, 28.2.2020, Nr. 1, date:12.2020: 1-4
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