|
11691 |
The role of endothelial cell-related gene COL1A1 in prostate cancer diagnosis and immunotherapy: insights from machine learning and single-cell analysis
Enthalten in Biology direct Bd. 20, 8.1.2025, Nr. 1, date:12.2025: 1-19
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11692 |
The role of individual variability on the predictive performance of machine learning applied to large bio-logging datasets
Enthalten in Scientific reports Bd. 12, 17.11.2022, Nr. 1, date:12.2022: 1-13
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11693 |
The role of machine learning in clinical research: transforming the future of evidence generation
Enthalten in Trials Bd. 22, 16.8.2021, Nr. 1, date:12.2021: 1-15
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11694 |
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review
Enthalten in BMC medical informatics and decision making Bd. 22, 15.9.2022, Nr. 1, date:12.2022: 1-17
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11695 |
The role of morphometric characteristics in predicting 20-meter sprint performance through machine learning
Enthalten in Scientific reports Bd. 14, 18.7.2024, Nr. 1, date:12.2024: 1-15
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11696 |
The role of national nutrition programs on stunting reduction in Rwanda using machine learning classifiers: a retrospective study
Enthalten in BMC nutrition Bd. 10, 11.7.2024, Nr. 1, date:12.2024: 1-14
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11697 |
The Role of Preoperative Abdominal Ultrasound in the Preparation of Patients Undergoing Primary Metabolic and Bariatric Surgery: A Machine Learning Algorithm on 4418 Patients’ Records
Enthalten in Obesity surgery Bd. 34, 8.8.2024, Nr. 9, date:9.2024: 3445-3458
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11698 |
The role of senescence-related genes in major depressive disorder: insights from machine learning and single cell analysis
Enthalten in BMC psychiatry Bd. 25, 3.3.2025, Nr. 1, date:12.2025: 1-14
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11699 |
The role of the diaphragm in prediction of respiratory function in the immediate postoperative period in lung cancer patients using a machine learning model
Enthalten in World journal of surgical oncology Bd. 21, 22.12.2023, Nr. 1, date:12.2023: 1-11
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11700 |
The role of various physiological and bioelectrical parameters for estimating the weight status in infants and juveniles cohort from the Southern Cuba region: a machine learning study
Enthalten in BMC pediatrics Bd. 24, 6.5.2024, Nr. 1, date:12.2024: 1-11
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Administration
