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11171 |
Predictive machine learning models for anticipating loss to follow-up in tuberculosis patients throughout anti-TB treatment journey
Enthalten in Scientific reports Bd. 14, 21.10.2024, Nr. 1, date:12.2024: 1-9
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11172 |
Predictive Market Making via Machine Learning
Enthalten in Operations research forum Bd. 3, 26.1.2022, Nr. 1, date:3.2022: 1-21
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11173 |
Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning
Enthalten in BMC medical informatics and decision making Bd. 24, 25.4.2024, Nr. 1, date:12.2024: 1-12
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11174 |
Predictive model for a second hip fracture occurrence using natural language processing and machine learning on electronic health records
Enthalten in Scientific reports Bd. 14, 4.1.2024, Nr. 1, date:12.2024: 1-10
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11175 |
Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea
Enthalten in Scientific reports Bd. 14, 30.11.2024, Nr. 1, date:12.2024: 1-9
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11176 |
Predictive model for acute respiratory distress syndrome events in ICU patients in China using machine learning algorithms: a secondary analysis of a cohort study
Enthalten in Journal of translational medicine Bd. 17, 1.10.2019, Nr. 1, date:12.2019: 1-10
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11177 |
Predictive model of prognosis index for invasive micropapillary carcinoma of the breast based on machine learning: a SEER population-based study
Enthalten in BMC medical informatics and decision making Bd. 24, 27.9.2024, Nr. 1, date:12.2024: 1-12
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11178 |
Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms
Enthalten in BMC medical informatics and decision making Bd. 21, 20.10.2021, Nr. 1, date:12.2021: 1-11
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11179 |
Predictive modeling for acute kidney injury after percutaneous coronary intervention in patients with acute coronary syndrome: a machine learning approach
Enthalten in European journal of medical research Bd. 29, 24.1.2024, Nr. 1, date:12.2024: 1-12
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11180 |
Predictive modeling for breast cancer classification in the context of Bangladeshi patients by use of machine learning approach with explainable AI
Enthalten in Scientific reports Bd. 14, 11.4.2024, Nr. 1, date:12.2024: 1-17
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