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Artikel 6251 Predicting dyslipidemia incidence: unleashing machine learning algorithms on Lifestyle Promotion Project data
Enthalten in BMC public health Bd. 24, 3.7.2024, Nr. 1, date:12.2024: 1-16
Online Ressource
Artikel 6252 Predicting early postoperative PONV using multiple machine-learning- and deep-learning-algorithms
Enthalten in BMC medical research methodology Bd. 23, 31.5.2023, Nr. 1, date:12.2023: 1-9
Online Ressource
Artikel 6253 Predicting feature genes correlated with immune infiltration in patients with abdominal aortic aneurysm based on machine learning algorithms
Enthalten in Scientific reports Bd. 14, 2.3.2024, Nr. 1, date:12.2024: 1-15
Online Ressource
Artikel 6254 Predicting functional associations from metabolism using bi-partite network algorithms
Enthalten in BMC systems biology Bd. 4, 14.7.2010, Nr. 1, date:12.2010: 1-15
Online Ressource
Artikel 6255 Predicting Gestational Diabetes Mellitus in the first trimester using machine learning algorithms: a cross-sectional study at a hospital fertility health center in Iran
Enthalten in BMC medical informatics and decision making Bd. 25, 3.1.2025, Nr. 1, date:12.2025: 1-11
Online Ressource
Artikel 6256 Predicting ground vibration during rock blasting using relevance vector machine improved with dual kernels and metaheuristic algorithms
Enthalten in Scientific reports Bd. 14, 28.8.2024, Nr. 1, date:12.2024: 1-30
Online Ressource
Artikel 6257 Predicting Growth and Carcass Traits in Swine Using Microbiome Data and Machine Learning Algorithms
Enthalten in Scientific reports Bd. 9, 25.4.2019, Nr. 1, date:12.2019: 1-15
Online Ressource
Artikel 6258 Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study
Enthalten in BMC pregnancy and childbirth Bd. 25, 19.3.2025, Nr. 1, date:12.2025: 1-9
Online Ressource
Artikel 6259 Predicting on-going hemorrhage and transfusion requirement after severe trauma: a validation of six scoring systems and algorithms on the TraumaRegister DGU®
Enthalten in Critical care Bd. 16, 20.7.2012, Nr. 4, date:8.2012: 1-10
Online Ressource
Artikel 6260 Predicting pathological complete response to neoadjuvant chemotherapy in breast cancer patients: use of MRI radiomics data from three regions with multiple machine learning algorithms
Enthalten in Journal of cancer research and clinical oncology Bd. 150, 21.3.2024, Nr. 3, date:3.2024: 1-13
Online Ressource


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