|
13781 |
Utilizing machine learning models for predicting outcomes in acute pancreatitis: development and validation in three retrospective cohorts
Enthalten in BMC medical informatics and decision making Bd. 25, 11.7.2025, Nr. 1, date:12.2025: 1-22
|
|
|
|
13782 |
Utilizing machine learning to analyze trunk movement patterns in women with postpartum low back pain
Enthalten in Scientific reports Bd. 14, 12.8.2024, Nr. 1, date:12.2024: 1-24
|
|
|
|
13783 |
Utilizing machine learning to facilitate the early diagnosis of posterior circulation stroke
Enthalten in BMC neurology Bd. 24, 7.5.2024, Nr. 1, date:12.2024: 1-12
|
|
|
|
13784 |
Utilizing machine learning to identify fall predictors in India's aging population: findings from the LASI
Enthalten in BMC geriatrics Bd. 25, 17.3.2025, Nr. 1, date:12.2025: 1-11
|
|
|
|
13785 |
Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine)
Enthalten in Scientific reports Bd. 15, 24.1.2025, Nr. 1, date:12.2025: 1-13
|
|
|
|
13786 |
Utilizing machine learning to predict MRI signal outputs from iron oxide nanoparticles through the PSLG algorithm
Enthalten in Scientific reports Bd. 15, 16.7.2025, Nr. 1, date:12.2025: 1-13
|
|
|
|
13787 |
Utilizing machine learning to predict participant response to follow-up health surveys in the Millennium Cohort Study
Enthalten in Scientific reports Bd. 14, 28.10.2024, Nr. 1, date:12.2024: 1-12
|
|
|
|
13788 |
Utilizing machine learning to predict post-treatment outcomes in chronic non-specific neck pain patients undergoing cervical extension traction
Enthalten in Scientific reports Bd. 14, 23.5.2024, Nr. 1, date:12.2024: 1-13
|
|
|
|
13789 |
Utilizing Ni(II) complex for metal drug-gel particles in cervical cancer treatment and designing novel drugs through machine learning methods
Enthalten in Scientific reports Bd. 14, 5.3.2024, Nr. 1, date:12.2024: 1-9
|
|
|
|
13790 |
Utilizing reinforcement learning for de novo drug design
Enthalten in Machine learning Bd. 113, 8.4.2024, Nr. 7, date:7.2024: 4811-4843
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Administration
