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26631 |
The construction of machine learning-based predictive models for high-quality embryo formation in poor ovarian response patients with progestin-primed ovarian stimulation
Enthalten in Reproductive biology and endocrinology Bd. 22, 10.7.2024, Nr. 1, date:12.2024: 1-11
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26632 |
The CT-based intratumoral and peritumoral machine learning radiomics analysis in predicting lymph node metastasis in rectal carcinoma
Enthalten in BMC gastroenterology Bd. 22, 16.11.2022, Nr. 1, date:12.2022: 1-8
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26633 |
The CT delta-radiomics based machine learning approach in evaluating multiple primary lung adenocarcinoma
Enthalten in BMC cancer Bd. 22, 3.9.2022, Nr. 1, date:12.2022: 1-8
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26634 |
The Deception of Certainty: how Non-Interpretable Machine Learning Outcomes Challenge the Epistemic Authority of Physicians. A deliberative-relational Approach
Enthalten in Medicine, health care and philosophy Bd. 25, 10.5.2022, Nr. 2, date:6.2022: 167-178
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26635 |
The dengue-specific immune response and antibody identification with machine learning
Enthalten in npj vaccines Bd. 9, 20.1.2024, Nr. 1, date:12.2024: 1-15
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26636 |
The development and deployment of machine learning models
Enthalten in Knee surgery, sports traumatology, arthroscopy Bd. 30, 9.9.2022, Nr. 12, date:12.2022: 3917-3923
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26637 |
The development of a C5.0 machine learning model in a limited data set to predict early mortality in patients with ARDS undergoing an initial session of prone positioning
Enthalten in Intensive Care Medicine Experimental Bd. 12, 14.11.2024, Nr. 1, date:12.2024: 1-12
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26638 |
The development of a machine learning algorithm to identify occupational injuries in agriculture using pre-hospital care reports
Enthalten in Health Information Science and Systems Bd. 9, 29.7.2021, Nr. 1, date:12.2021: 1-9
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26639 |
The development of a web-based app employing machine learning for delirium prevention in long-term care facilities in South Korea
Enthalten in BMC medical informatics and decision making Bd. 22, 17.8.2022, Nr. 1, date:12.2022: 1-11
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26640 |
The development of an automated machine learning pipeline for the detection of Alzheimer’s Disease
Enthalten in Scientific reports Bd. 12, 28.10.2022, Nr. 1, date:12.2022: 1-7
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Administration
