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27831 |
Using machine learning to identify patients at high risk of developing low bone density or osteoporosis after gastrectomy: a 10-year multicenter retrospective analysis
Enthalten in Journal of cancer research and clinical oncology Bd. 149, 28.10.2023, Nr. 19, date:12.2023: 17479-17493
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27832 |
Using machine learning to improve the accuracy of genomic prediction of reproduction traits in pigs
Enthalten in Journal of animal science and biotechnology Bd. 13, 17.5.2022, Nr. 1, date:12.2022: 1-12
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27833 |
Using Machine Learning to Measure Relatedness Between Genes: A Multi-Features Model
Enthalten in Scientific reports Bd. 9, 12.3.2019, Nr. 1, date:12.2019: 1-15
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27834 |
Using machine learning to mine mental health diagnostic groups from emergency department presentations before and during the COVID-19 pandemic
Enthalten in Discover mental health Bd. 3, 6.11.2023, Nr. 1, date:12.2023: 1-22
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27835 |
Using machine learning to predict artistic styles: an analysis of trends and the research agenda
Enthalten in Artificial intelligence review Bd. 57, 15.4.2024, Nr. 5, date:5.2024: 1-66
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27836 |
Using machine learning to predict deterioration of symptoms in COPD patients within a telemonitoring program
Enthalten in Scientific reports Bd. 15, 27.2.2025, Nr. 1, date:12.2025: 1-12
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27837 |
Using machine learning to predict factors affecting academic performance: the case of college students on academic probation
Enthalten in Education and information technologies Bd. 28, 10.3.2023, Nr. 10, date:10.2023: 12407-12432
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27838 |
Using machine learning to predict five-year transplant-free survival among infants with hypoplastic left heart syndrome
Enthalten in Scientific reports Bd. 14, 24.2.2024, Nr. 1, date:12.2024: 1-9
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27839 |
Using machine learning to predict habitat suitability of sloth bears at multiple spatial scales
Enthalten in Ecological Processes Bd. 10, 29.6.2021, Nr. 1, date:12.2021: 1-12
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27840 |
Using machine learning to predict individual patient toxicities from cancer treatments
Enthalten in Supportive care in cancer Bd. 30, 25.5.2022, Nr. 9, date:9.2022: 7397-7406
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Administration
