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10871 |
PredicT-ML: a tool for automating machine learning model building with big clinical data Enthalten in Health Information Science and Systems Bd. 4, 8.6.2016, Nr. 1, date:12.2016: 1-16
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10872 |
Predict the compressive strength of ultra high-performance concrete by a hybrid method of machine learning Enthalten in Journal of engineering and applied science Bd. 70, 12.9.2023, Nr. 1, date:12.2023: 1-18
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10873 |
Predictability of drug-induced liver injury by machine learning Enthalten in Biology direct Bd. 15, 13.2.2020, Nr. 1, date:12.2020: 1-10
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10874 |
Predict, diagnose, and treat chronic kidney disease with machine learning: a systematic literature review Enthalten in Journal of nephrology Bd. 36, 14.2.2023, Nr. 4, date:5.2023: 1101-1117
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10875 |
Predicting 180-day mortality for women with ovarian cancer using machine learning and patient-reported outcome data Enthalten in Scientific reports Bd. 12, 8.12.2022, Nr. 1, date:12.2022: 1-8
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10876 |
Predicting 28-day all-cause mortality in patients admitted to intensive care units with pre-existing chronic heart failure using the stress hyperglycemia ratio: a machine learning-driven retrospective cohort analysis Enthalten in Cardiovascular diabetology Bd. 24, 8.1.2025, Nr. 1, date:12.2025: 1-13
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10877 |
Predicting 3-month poor functional outcomes of acute ischemic stroke in young patients using machine learning Enthalten in European journal of medical research Bd. 29, 10.10.2024, Nr. 1, date:12.2024: 1-10
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10878 |
Predicting 30-day mortality in hemophagocytic lymphohistiocytosis: clinical features, biochemical parameters, and machine learning insights Enthalten in Annals of hematology Bd. 104, 1.3.2025, Nr. 4, date:4.2025: 2239-2264
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10879 |
Predicting 30-day readmission following total knee arthroplasty using machine learning and clinical expertise applied to clinical administrative and research registry data in an Australian cohort Enthalten in Arthroplasty Bd. 5, 1.6.2023, Nr. 1, date:12.2023: 1-15
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10880 |
Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost Enthalten in Journal of translational medicine Bd. 18, 7.12.2020, Nr. 1, date:12.2020: 1-14
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