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11511 |
Prediction of high infiltration levels in pituitary adenoma using MRI-based radiomics and machine learning
Enthalten in Chinese neurosurgical journal Bd. 8, 12.8.2022, Nr. 1, date:12.2022: 1-9
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11512 |
Prediction of high-risk pregnancy based on machine learning algorithms
Enthalten in Scientific reports Bd. 15, 4.5.2025, Nr. 1, date:12.2025: 1-8
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11513 |
Prediction of hospital-acquired influenza using machine learning algorithms: a comparative study
Enthalten in BMC infectious diseases Bd. 24, 2.5.2024, Nr. 1, date:12.2024: 1-11
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11514 |
Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods
Enthalten in BMC bioinformatics Bd. 10, 30.10.2009, Nr. 1, date:12.2009: 1-17
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11515 |
Prediction of HPC compressive strength based on machine learning
Enthalten in Scientific reports Bd. 14, 22.7.2024, Nr. 1, date:12.2024: 1-18
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11516 |
Prediction of in-hospital mortality in patients on mechanical ventilation post traumatic brain injury: machine learning approach
Enthalten in BMC medical informatics and decision making Bd. 20, 14.12.2020, Nr. 1, date:12.2020: 1-11
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11517 |
Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach
Enthalten in Scandinavian journal of trauma, resuscitation and emergency medicine Bd. 28, 27.5.2020, Nr. 1, date:12.2020: 1-10
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11518 |
Prediction of inappropriate pre-hospital transfer of patients with suspected cardiovascular emergency diseases using machine learning: a retrospective observational study
Enthalten in BMC medical informatics and decision making Bd. 23, 6.4.2023, Nr. 1, date:12.2023: 1-9
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11519 |
Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data
Enthalten in BMC medical informatics and decision making Bd. 20, 2.10.2020, Nr. 1, date:12.2020: 1-10
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11520 |
Prediction of incomplete immunization among under-five children in East Africa from recent demographic and health surveys: a machine learning approach
Enthalten in Scientific reports Bd. 14, 21.5.2024, Nr. 1, date:12.2024: 1-14
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Administration
