|
11011 |
Predicting venous thromboembolism in hospitalized trauma patients: a combination of the Caprini score and data-driven machine learning model
Enthalten in BMC emergency medicine Bd. 21, 10.5.2021, Nr. 1, date:12.2021: 1-12
|
|
|
|
11012 |
Predicting viral proteins that evade the innate immune system: a machine learning-based immunoinformatics tool
Enthalten in BMC bioinformatics Bd. 25, 9.11.2024, Nr. 1, date:12.2024: 1-13
|
|
|
|
11013 |
Predicting visual field global and local parameters from OCT measurements using explainable machine learning
Enthalten in Scientific reports Bd. 15, 16.2.2025, Nr. 1, date:12.2025: 1-18
|
|
|
|
11014 |
Predicting wetland soil properties using machine learning, geophysics, and soil measurement data
Enthalten in Journal of soils and sediments Bd. 24, 25.4.2024, Nr. 6, date:6.2024: 2398-2415
|
|
|
|
11015 |
Predicting who has delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage using machine learning approach: a multicenter, retrospective cohort study
Enthalten in BMC neurology Bd. 24, 27.5.2024, Nr. 1, date:12.2024: 1-13
|
|
|
|
11016 |
Predicting willingness to donate blood based on machine learning: two blood donor recruitments during COVID-19 outbreaks
Enthalten in Scientific reports Bd. 12, 10.11.2022, Nr. 1, date:12.2022: 1-12
|
|
|
|
11017 |
Predicting yellow rust in wheat breeding trials by proximal phenotyping and machine learning
Enthalten in Plant methods Bd. 18, 15.3.2022, Nr. 1, date:12.2022: 1-11
|
|
|
|
11018 |
Prediction algorithm for ICU mortality and length of stay using machine learning
Enthalten in Scientific reports Bd. 12, 28.7.2022, Nr. 1, date:12.2022: 1-9
|
|
|
|
11019 |
Prediction and analysis of dominant factors influencing moisture content during vacuum screening based on machine learning
Enthalten in Scientific reports Bd. 14, 6.8.2024, Nr. 1, date:12.2024: 1-20
|
|
|
|
11020 |
Prediction and Analysis of the Severity and Number of Suburban Accidents Using Logit Model, Factor Analysis and Machine Learning: A case study in a developing country
Enthalten in SN applied sciences Bd. 3, 7.1.2021, Nr. 1, date:1.2021: 1-16
|
|
Administration
