|
25961 |
Prediction model for cardiovascular disease in patients with diabetes using machine learning derived and validated in two independent Korean cohorts
Enthalten in Scientific reports Bd. 14, 28.6.2024, Nr. 1, date:12.2024: 1-11
|
|
|
|
25962 |
Prediction model for compressive strength of rice husk ash blended sandcrete blocks using a machine learning models
Enthalten in Asian journal of civil engineering Bd. 25, 24.5.2024, Nr. 6, date:9.2024: 4745-4758
|
|
|
|
25963 |
Prediction model for corrosion rate of low-alloy steels under atmospheric conditions using machine learning algorithms
Enthalten in International journal of minerals, metallurgy and materials Bd. 31, 17.2.2024, Nr. 2, date:2.2024: 337-350
|
|
|
|
25964 |
Prediction model for myocardial injury after non-cardiac surgery using machine learning
Enthalten in Scientific reports Bd. 13, 26.1.2023, Nr. 1, date:12.2023: 1-9
|
|
|
|
25965 |
Prediction model for ocular metastasis of breast cancer: machine learning model development and interpretation study
Enthalten in BMC cancer Bd. 24, 29.11.2024, Nr. 1, date:12.2024: 1-16
|
|
|
|
25966 |
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
|
|
|
|
25967 |
Prediction model of in-hospital mortality in intensive care unit patients with cardiac arrest: a retrospective analysis of MIMIC -IV database based on machine learning
Enthalten in BMC anesthesiology Bd. 23, 25.5.2023, Nr. 1, date:12.2023: 1-17
|
|
|
|
25968 |
Prediction Model of Yield Strength of V–N Steel Hot-rolled Plate Based on Machine Learning Algorithm
Enthalten in JOM Bd. 75, 21.3.2023, Nr. 5, date:5.2023: 1750-1762
|
|
|
|
25969 |
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
|
|
|
|
25970 |
Prediction models for early diagnosis of actinomycotic osteomyelitis of the jaw using machine learning techniques: a preliminary study
Enthalten in BMC oral health Bd. 22, 6.5.2022, Nr. 1, date:12.2022: 1-9
|
|
Administration
