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25591 |
Predicting postoperative pulmonary infection in elderly patients undergoing major surgery: a study based on logistic regression and machine learning models
Enthalten in BMC pulmonary medicine Bd. 25, 19.3.2025, Nr. 1, date:12.2025: 1-13
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25592 |
Predicting postoperative rehemorrhage in hypertensive intracerebral hemorrhage using noncontrast CT radiomics and clinical data with an interpretable machine learning approach
Enthalten in Scientific reports Bd. 14, 27.4.2024, Nr. 1, date:12.2024: 1-12
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25593 |
Predicting potential reforestation areas by Quercus ilex (L.) species using machine learning algorithms: case of upper Ziz, southeastern Morocco
Enthalten in Environmental monitoring and assessment Bd. 195, 25.8.2023, Nr. 9, date:9.2023: 1-20
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25594 |
Predicting Powder Blend Flowability from Individual Constituent Properties Using Machine Learning
Enthalten in Pharmaceutical research Bd. 42, 17.4.2025, Nr. 4, date:4.2025: 665-683
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25595 |
Predicting power consumption of drones using explainable optimized mathematical and machine learning models
Enthalten in The journal of supercomputing Bd. 81, 23.3.2025, Nr. 5, date:4.2025: 1-30
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25596 |
Predicting practical reduction potential of electrolyte solvents via computational hydrogen electrode and interpretable machine-learning models
Enthalten in npj computational materials Bd. 11, 16.5.2025, Nr. 1, date:12.2025: 1-11
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25597 |
Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model
Enthalten in BMC medical informatics and decision making Bd. 25, 1.5.2025, Nr. 1, date:12.2025: 1-15
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25598 |
Predicting pregnancy at the first year following metabolic-bariatric surgery: development and validation of machine learning models
Enthalten in Surgical endoscopy and other interventional techniques Bd. 39, 10.3.2025, Nr. 4, date:4.2025: 2656-2667
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25599 |
Predicting preterm birth using machine learning methods
Enthalten in Scientific reports Bd. 15, 16.2.2025, Nr. 1, date:12.2025: 1-8
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|
25600 |
Predicting preterm birth using machine learning techniques in oral microbiome
Enthalten in Scientific reports Bd. 13, 30.11.2023, Nr. 1, date:12.2023: 1-7
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