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10841 |
Post-stroke respiratory complications using machine learning with voice features from mobile devices Enthalten in Scientific reports Bd. 12, 6.10.2022, Nr. 1, date:12.2022: 1-11
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10842 |
Post-surgery survival and associated factors for cardiac patients in Ethiopia: applications of machine learning, semi-parametric and parametric modelling Enthalten in BMC medical informatics and decision making Bd. 24, 29.3.2024, Nr. 1, date:12.2024: 1-12
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10843 |
Postoperative delirium prediction using machine learning models and preoperative electronic health record data Enthalten in BMC anesthesiology Bd. 22, 3.1.2022, Nr. 1, date:12.2022: 1-12
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10844 |
Postoperative fever following surgery for oral cancer: Incidence, risk factors, and the formulation of a machine learning-based predictive model Enthalten in BMC oral health Bd. 25, 30.1.2025, Nr. 1, date:12.2025: 1-12
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10845 |
Potential and limitations of machine-learning approaches to inclusive /V ub / determinations Enthalten in Journal of high energy physics Bd. 2022, 26.1.2022, Nr. 1, date:1.2022: 1-34
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10846 |
Potential benefits and limitations of machine learning in the field of eating disorders: current research and future directions Enthalten in Journal of eating disorders Bd. 10, 8.5.2022, Nr. 1, date:12.2022: 1-14
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10847 |
Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methods Enthalten in Scientific reports Bd. 8, 4.10.2018, Nr. 1, date:12.2018: 1-7
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10848 |
Potential of machine learning approaches for predicting mechanical properties of spruce wood in the transverse direction Enthalten in Journal of wood science Bd. 69, 25.6.2023, Nr. 1, date:12.2023: 1-13
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10849 |
Potential of MR-based radiomics and optimized statistical machine learning in grading patients with glioma Enthalten in The Egyptian Journal of Radiology and Nuclear Medicine Bd. 56, 17.3.2025, Nr. 1, date:12.2025: 1-12
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10850 |
Potential of quantum machine learning for solving the real-world problem of cancer classification Enthalten in Discover applied sciences Bd. 6, 27.9.2024, Nr. 10, date:10.2024: 1-12
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