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11671 |
Predictive Power of XGBoost_BiLSTM Model: A Machine-Learning Approach for Accurate Sleep Apnea Detection Using Electronic Health Data
Enthalten in International journal of computational intelligence systems Bd. 16, 27.11.2023, Nr. 1, date:12.2023: 1-14
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11672 |
Predictive value of CAC score combined with clinical features for obstructive coronary heart disease on coronary computed tomography angiography: a machine learning method
Enthalten in BMC cardiovascular disorders Bd. 22, 26.12.2022, Nr. 1, date:12.2022: 1-8
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11673 |
Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients
Enthalten in BMC medical informatics and decision making Bd. 23, 30.10.2023, Nr. 1, date:12.2023: 1-11
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11674 |
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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11675 |
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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11676 |
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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11677 |
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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11678 |
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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11679 |
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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11680 |
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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