|
6271 |
Predicting the risk of ibrutinib in combination with R-ICE in patients with relapsed or refractory DLBCL using explainable machine learning algorithms Enthalten in Clinical and experimental medicine Bd. 25, 26.5.2025, Nr. 1, date:12.2025: 1-12
|
|
|
6272 |
Predicting the risk of pulmonary embolism in patients with tuberculosis using machine learning algorithms Enthalten in European journal of medical research Bd. 29, 23.12.2024, Nr. 1, date:12.2024: 1-9
|
|
|
6273 |
Predicting three-month fasting blood glucose and glycated hemoglobin changes in patients with type 2 diabetes mellitus based on multiple machine learning algorithms Enthalten in Scientific reports Bd. 13, 30.9.2023, Nr. 1, date:12.2023: 1-13
|
|
|
6274 |
Prediction and feature selection of low birth weight using machine learning algorithms Enthalten in Journal of health, population and nutrition Bd. 43, 12.10.2024, Nr. 1, date:12.2024: 1-13
|
|
|
6275 |
Prediction and optimization of indirect shoot regeneration of Passiflora caerulea using machine learning and optimization algorithms Enthalten in BMC biotechnology Bd. 23, 1.8.2023, Nr. 1, date:12.2023: 1-12
|
|
|
6276 |
Prediction model for spinal cord injury in spinal tuberculosis patients using multiple machine learning algorithms: a multicentric study Enthalten in Scientific reports Bd. 14, 2.4.2024, Nr. 1, date:12.2024: 1-11
|
|
|
6277 |
Prediction models based on machine learning algorithms for COVID-19 severity risk Enthalten in BMC public health Bd. 25, 13.5.2025, Nr. 1, date:12.2025: 1-19
|
|
|
6278 |
Prediction models for postoperative delirium in elderly patients with machine-learning algorithms and SHapley Additive exPlanations Enthalten in Translational Psychiatry Bd. 14, 25.1.2024, Nr. 1, date:12.2024: 1-8
|
|
|
6279 |
Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data Enthalten in BMC medical informatics and decision making Bd. 22, 7.11.2022, Nr. 1, date:12.2022: 1-8
|
|
|
6280 |
Prediction of asthma outpatients using cumulative particulate matter and machine learning algorithms: a case study in Adiyaman, Turkey Enthalten in Discover applied sciences Bd. 7, 18.12.2024, Nr. 1, date:1.2025: 1-11
|
|