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15821 |
The predictive reframing of machine learning applications: good predictions and bad measurements
Enthalten in European journal for philosophy of science Bd. 12, 26.8.2022, Nr. 3, date:9.2022: 1-21
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15822 |
The predictive role of identifying frailty in assessing the need for palliative care in the elderly: the application of machine learning algorithm
Enthalten in Journal of health, population and nutrition Bd. 44, 23.4.2025, Nr. 1, date:12.2025: 1-13
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15823 |
The predictive value of machine learning for mortality risk in patients with acute coronary syndromes: a systematic review and meta-analysis
Enthalten in European journal of medical research Bd. 28, 20.10.2023, Nr. 1, date:12.2023: 1-13
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15824 |
The Promise of Artificial Intelligence and Machine Learning in Geriatric Anesthesiology Education: An Idea Whose Time Has Come
Enthalten in Current anesthesiology reports Bd. 15, 6.1.2025, Nr. 1, date:12.2025: 1-10
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15825 |
The promise of machine learning applications in solid organ transplantation
Enthalten in npj digital medicine Bd. 5, 11.7.2022, Nr. 1, date:12.2022: 1-13
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15826 |
The quest for a biological phenotype of adolescent non-suicidal self-injury: a machine-learning approach
Enthalten in Translational Psychiatry Bd. 14, 25.1.2024, Nr. 1, date:12.2024: 1-7
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15827 |
The quest for the reliability of machine learning models in binary classification on tabular data
Enthalten in Scientific reports Bd. 13, 27.10.2023, Nr. 1, date:12.2023: 1-11
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15828 |
The ReadFree tool for the identification of poor readers: a validation study based on a machine learning approach in monolingual and minority-language children
Enthalten in Annals of dyslexia Bd. 73, 7.8.2023, Nr. 3, date:10.2023: 356-392
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15829 |
The regression analysis of dry - wet wear outcomes and materials properties of biodegradable MgCu and MgZn, made by P/M, using machine learning models
Enthalten in Applied physics / A / Materials science & processing Bd. 131, 24.3.2025, Nr. 4, date:4.2025: 1-19
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15830 |
The relative data hungriness of unpenalized and penalized logistic regression and ensemble-based machine learning methods: the case of calibration
Enthalten in Diagnostic and prognostic research Bd. 8, 5.11.2024, Nr. 1, date:12.2024: 1-18
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