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36251 |
Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict prostate cancer diagnosis
Enthalten in Abdominal radiology Bd. 46, 31.8.2021, Nr. 12, date:12.2021: 5647-5658
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36252 |
Utility of pre-treatment FDG PET/CT–derived machine learning models for outcome prediction in classical Hodgkin lymphoma
Enthalten in European radiology Bd. 32, 25.8.2022, Nr. 10, date:10.2022: 7237-7247
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36253 |
Utilization of artificial intelligence and machine learning in chemistry education: a critical review
Enthalten in Discover education Bd. 3, 10.7.2024, Nr. 1, date:12.2024: 1-15
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36254 |
Utilization of machine learning algorithm in the prediction of rehospitalization during one-year post traumatic spinal cord injury
Enthalten in Spinal cord Bd. 63, 15.2.2025, Nr. 4, date:4.2025: 214-221
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36255 |
Utilization of machine learning approach for production of optimized PLGA nanoparticles for drug delivery applications
Enthalten in Scientific reports Bd. 15, 14.3.2025, Nr. 1, date:12.2025: 1-14
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36256 |
Utilization of machine learning for dengue case screening
Enthalten in BMC public health Bd. 24, 11.6.2024, Nr. 1, date:12.2024: 1-9
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36257 |
Utilization of machine learning for the estimation of production rates in wells operated by electrical submersible pumps
Enthalten in Journal of petroleum exploration and production technology Bd. 14, 22.2.2024, Nr. 5, date:5.2024: 1205-1233
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36258 |
Utilization of machine learning models in predicting caries risk groups and oral health-related risk factors in adults
Enthalten in BMC oral health Bd. 24, 8.4.2024, Nr. 1, date:12.2024: 1-19
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36259 |
Utilization of machine learning to test the impact of cognitive processing and emotion recognition on the development of PTSD following trauma exposure
Enthalten in BMC psychiatry Bd. 20, 1.7.2020, Nr. 1, date:12.2020: 1-11
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36260 |
Utilization of Natural Zeolite (Scolecite) to Reduce Arsenic Contamination of Water in Relation to Machine Learning Approach
Enthalten in Water, air & soil pollution Bd. 235, 5.2.2024, Nr. 2, date:2.2024: 1-17
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Administration
