|
10941 |
Predicting post-operative vault and optimal implantable collamer lens size using machine learning based on various ophthalmic device combinations
Enthalten in Biomedical engineering online Bd. 22, 15.6.2023, Nr. 1, date:12.2023: 1-15
|
|
|
|
10942 |
Predicting post-surgical functional status in high-grade glioma with resting state fMRI and machine learning
Enthalten in Journal of neuro-oncology Bd. 169, 24.5.2024, Nr. 1, date:8.2024: 175-185
|
|
|
|
10943 |
Predicting postoperative gastric cancer prognosis based on inflammatory factors and machine learning technology
Enthalten in BMC medical informatics and decision making Bd. 23, 31.3.2023, Nr. 1, date:12.2023: 1-8
|
|
|
|
10944 |
Predicting postoperative nausea and vomiting using machine learning: a model development and validation study
Enthalten in BMC anesthesiology Bd. 25, 20.3.2025, Nr. 1, date:12.2025: 1-11
|
|
|
|
10945 |
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
|
|
|
|
10946 |
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
|
|
|
|
10947 |
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
|
|
|
|
10948 |
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
|
|
|
|
10949 |
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
|
|
|
|
10950 |
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
|
|
Administration
