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25581 |
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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25582 |
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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25583 |
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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25584 |
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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25585 |
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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25586 |
Predicting Progression from Normal to MCI and from MCI to AD Using Clinical Variables in the National Alzheimer’s Coordinating Center Uniform Data Set Version 3: Application of Machine Learning Models and a Probability Calculator
Enthalten in The journal of prevention of Alzheimer's disease Bd. 10, 19.1.2023, Nr. 2, date:4.2023: 301-313
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25587 |
Predicting protein function by machine learning on amino acid sequences – a critical evaluation
Enthalten in BMC genomics Bd. 8, 20.3.2007, Nr. 1, date:12.2007: 1-10
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25588 |
Predicting quetiapine dose in patients with depression using machine learning techniques based on real-world evidence
Enthalten in Annals of general psychiatry Bd. 23, 6.1.2024, Nr. 1, date:12.2024: 1-13
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25589 |
Predicting Radiation-Induced Skin Toxicity in Breast Cancer: A Machine Learning Approach Combining Radiomic and Dosimetric Features
Enthalten in Journal of medical and biological engineering Bd. 45, 10.4.2025, Nr. 2, date:4.2025: 211-222
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25590 |
Predicting radiation pneumonitis in lung cancer using machine learning and multimodal features: a systematic review and meta-analysis of diagnostic accuracy
Enthalten in BMC cancer Bd. 24, 5.11.2024, Nr. 1, date:12.2024: 1-18
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