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11811 |
Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning
Enthalten in BMC medical informatics and decision making Bd. 25, 3.2.2025, Nr. 1, date:12.2025: 1-18
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11812 |
Unlocking the potential of microRNAs: machine learning identifies key biomarkers for myocardial infarction diagnosis
Enthalten in Cardiovascular diabetology Bd. 22, 11.9.2023, Nr. 1, date:12.2023: 1-17
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11813 |
Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media
Enthalten in Machine learning Bd. 114, 16.1.2025, Nr. 1, date:1.2025: 1-22
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11814 |
Unraveling climate trends in the mediterranean: a hybrid machine learning and statistical approach
Enthalten in Modeling earth systems and environment Bd. 10, 6.8.2024, Nr. 5, date:10.2024: 6255-6277
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11815 |
Unraveling Cordia myxa’s anti-malarial potential: integrative insights from network pharmacology, molecular modeling, and machine learning
Enthalten in BMC infectious diseases Bd. 24, 19.10.2024, Nr. 1, date:12.2024: 1-20
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11816 |
Unraveling nonlinear effects of environment features on green view index using multiple data sources and explainable machine learning
Enthalten in Scientific reports Bd. 14, 4.12.2024, Nr. 1, date:12.2024: 1-18
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11817 |
Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation
Enthalten in Journal of biological engineering Bd. 18, 26.7.2024, Nr. 1, date:12.2024: 1-24
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11818 |
Unraveling the impact of abdominal arterial calcifications on kidney transplant waitlist mortality through ensemble machine learning
Enthalten in Scientific reports Bd. 14, 16.10.2024, Nr. 1, date:12.2024: 1-11
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11819 |
Unraveling the link between PTBP1 and severe asthma through machine learning and association rule mining method
Enthalten in Scientific reports Bd. 13, 16.9.2023, Nr. 1, date:12.2023: 1-19
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11820 |
Unraveling the mechanisms underlying drug-induced cholestatic liver injury: identifying key genes using machine learning techniques on human in vitro data sets
Enthalten in Archives of toxicology Bd. 97, 21.8.2023, Nr. 11, date:11.2023: 2969-2981
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Administration
