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11181 |
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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11182 |
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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11183 |
Predictive modeling for COVID-19 readmission risk using machine learning algorithms
Enthalten in BMC medical informatics and decision making Bd. 22, 20.5.2022, Nr. 1, date:12.2022: 1-12
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11184 |
Predictive modeling in pediatric traumatic brain injury using machine learning
Enthalten in BMC medical research methodology Bd. 15, 17.3.2015, Nr. 1, date:12.2015: 1-9
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11185 |
Predictive modeling of arginine vasopressin deficiency after transsphenoidal pituitary adenoma resection by using multiple machine learning algorithms
Enthalten in Scientific reports Bd. 14, 27.9.2024, Nr. 1, date:12.2024: 1-13
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11186 |
Predictive modeling of co-infection in lupus nephritis using multiple machine learning algorithms
Enthalten in Scientific reports Bd. 14, 22.4.2024, Nr. 1, date:12.2024: 1-8
|
|
|
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11187 |
Predictive modeling of COVID-19 mortality risk in chronic kidney disease patients using multiple machine learning algorithms
Enthalten in Scientific reports Bd. 14, 6.11.2024, Nr. 1, date:12.2024: 1-13
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|
|
|
11188 |
Predictive modeling of gestational weight gain: a machine learning multiclass classification study
Enthalten in BMC pregnancy and childbirth Bd. 24, 8.11.2024, Nr. 1, date:12.2024: 1-11
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|
11189 |
Predictive Modeling of Hypoglycemia Risk with Basal Insulin Use in Type 2 Diabetes: Use of Machine Learning in the LIGHTNING Study
Enthalten in Diabetes therapy Bd. 10, 14.2.2019, Nr. 2, date:4.2019: 605-615
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11190 |
Predictive modeling of ICU-AW inflammatory factors based on machine learning
Enthalten in BMC neurology Bd. 24, 19.12.2024, Nr. 1, date:12.2024: 1-13
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Administration
