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34181 |
Predictive value of machine learning for breast cancer recurrence: a systematic review and meta-analysis
Enthalten in Journal of cancer research and clinical oncology Bd. 149, 11.6.2023, Nr. 12, date:9.2023: 10659-10674
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34182 |
Predictive value of machine learning for PD-L1 expression in NSCLC: a systematic review and meta-analysis
Enthalten in World journal of surgical oncology Bd. 23, 22.5.2025, Nr. 1, date:12.2025: 1-16
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34183 |
Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis
Enthalten in BMC medical informatics and decision making Bd. 25, 13.1.2025, Nr. 1, date:12.2025: 1-10
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34184 |
Predictive Value of Machine Learning Models in Mortality of Coronavirus Disease 2019 (COVID-19) Pneumonia
Enthalten in International journal of computational intelligence systems Bd. 17, 26.8.2024, Nr. 1, date:12.2024: 1-17
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34185 |
Predictive Vehicle Diagnostics through Machine Learning
Enthalten in MTZ worldwide Bd. 81, 11.9.2020, Nr. 10, date:10.2020: 74-79
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34186 |
Predictors for extubation failure in COVID-19 patients using a machine learning approach
Enthalten in Critical care Bd. 25, 27.12.2021, Nr. 1, date:12.2021: 1-10
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34187 |
Predictors of Adherence to Stroke Prevention in the BALKAN-AF Study: A Machine-Learning Approach
Enthalten in TH open Bd. 06, 2022, Nr. 03: e283-e290
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34188 |
Predictors of depression among Chinese college students: a machine learning approach
Enthalten in BMC public health Bd. 25, 5.2.2025, Nr. 1, date:12.2025: 1-11
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34189 |
Predictors of High Healthcare Cost Among Patients with Generalized Myasthenia Gravis: A Combined Machine Learning and Regression Approach from a US Payer Perspective
Enthalten in Applied health economics and health policy Bd. 22, 13.7.2024, Nr. 5, date:9.2024: 735-747
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34190 |
Predictors of remission from body dysmorphic disorder after internet-delivered cognitive behavior therapy: a machine learning approach
Enthalten in BMC psychiatry Bd. 20, 19.5.2020, Nr. 1, date:12.2020: 1-9
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Administration
