|
15831 |
The simplification of the insomnia severity index and epworth sleepiness scale using machine learning models
Enthalten in Scientific reports Bd. 13, 17.4.2023, Nr. 1, date:12.2023: 1-11
|
|
|
|
15832 |
The Skeletal Oncology Research Group Machine Learning Algorithm (SORG-MLA) for predicting prolonged postoperative opioid prescription after total knee arthroplasty: an international validation study using 3,495 patients from a Taiwanese cohort
Enthalten in BMC musculoskeletal disorders Bd. 24, 5.7.2023, Nr. 1, date:12.2023: 1-11
|
|
|
|
15833 |
The state-of-the-art review on biochar as green additives in cementitious composites: performance, applications, machine learning predictions, and environmental and economic implications
Enthalten in Biochar Bd. 7, 22.1.2025, Nr. 1, date:12.2025: 1-30
|
|
|
|
15834 |
The study of automatic machine learning base on radiomics of non-focus area in the first chest CT of different clinical types of COVID-19 pneumonia
Enthalten in Scientific reports Bd. 10, 3.11.2020, Nr. 1, date:12.2020: 1-10
|
|
|
|
15835 |
The study of the association between immune monitoring and pneumonia in kidney transplant recipients through machine learning models
Enthalten in Journal of translational medicine Bd. 18, 29.9.2020, Nr. 1, date:12.2020: 1-11
|
|
|
|
15836 |
THE TOA ESTIMATION OF CELLULAR NETWORK SIGNALS BASED ON MACHINE LEARNING IN COMPLEX URBAN ENVIRONMENTS
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-1/W1-2023, 2023: 673-678. 6 S.
|
|
|
|
15837 |
The Tracking Machine Learning Challenge: Throughput Phase
Enthalten in Computing and software for big science Bd. 7, 13.2.2023, Nr. 1, date:12.2023: 1-19
|
|
|
|
15838 |
The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications
Enthalten in Journal of digital imaging Bd. 34, 4.10.2021, Nr. 6, date:12.2021: 1424-1429
|
|
|
|
15839 |
The triglyceride–glucose index and its obesity-related derivatives as predictors of all-cause and cardiovascular mortality in hypertensive patients: insights from NHANES data with machine learning analysis
Enthalten in Cardiovascular diabetology Bd. 24, 29.1.2025, Nr. 1, date:12.2025: 1-13
|
|
|
|
15840 |
The use of a machine-learning algorithm that predicts hypotension during surgery in combination with personalized treatment guidance: study protocol for a randomized clinical trial
Enthalten in Trials Bd. 20, 11.10.2019, Nr. 1, date:12.2019: 1-9
|
|
Administration
