|
10891 |
Predicting diabetes in adults: identifying important features in unbalanced data over a 5-year cohort study using machine learning algorithm Enthalten in BMC medical research methodology Bd. 24, 27.9.2024, Nr. 1, date:12.2024: 1-18
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10892 |
Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms Enthalten in BMC bioinformatics Bd. 19, 13.8.2018, Nr. 9, date:8.2018: 111-121
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10893 |
Predicting diabetic retinopathy based on routine laboratory tests by machine learning algorithms Enthalten in European journal of medical research Bd. 30, 18.3.2025, Nr. 1, date:12.2025: 1-19
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10894 |
Predicting diagnosis and survival of bone metastasis in breast cancer using machine learning Enthalten in Scientific reports Bd. 13, 25.10.2023, Nr. 1, date:12.2023: 1-20
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|
10895 |
Predicting diagnostic biomarkers associated with immune infiltration in Crohn's disease based on machine learning and bioinformatics Enthalten in European journal of medical research Bd. 28, 26.7.2023, Nr. 1, date:12.2023: 1-17
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10896 |
Predicting disease recurrence in breast cancer patients using machine learning models with clinical and radiomic characteristics: a retrospective study Enthalten in Egyptian National Cancer Institute (al-Qāhira): Journal of the Egyptian National Cancer Institute Bd. 36, 10.6.2024, Nr. 1, date:12.2024: 1-11
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|
10897 |
Predicting disease severity in multiple sclerosis using multimodal data and machine learning Enthalten in Journal of neurology Bd. 271, 22.12.2023, Nr. 3, date:3.2024: 1133-1149
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10898 |
Predicting drug shortages using pharmacy data and machine learning Enthalten in Health care management science Bd. 26, 13.3.2023, Nr. 3, date:9.2023: 395-411
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10899 |
Predicting dry weight change in Hemodialysis patients using machine learning Enthalten in BMC nephrology Bd. 24, 29.6.2023, Nr. 1, date:12.2023: 1-10
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|
10900 |
Predicting dyslipidemia incidence: unleashing machine learning algorithms on Lifestyle Promotion Project data Enthalten in BMC public health Bd. 24, 3.7.2024, Nr. 1, date:12.2024: 1-16
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