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17721 |
Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility study Enthalten in BMC medical informatics and decision making Bd. 23, 11.6.2023, Nr. 1, date:12.2023: 1-11
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17722 |
Using machine learning to develop a five-item short form of the children’s depression inventory Enthalten in BMC public health Bd. 24, 23.4.2024, Nr. 1, date:12.2024: 1-11
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17723 |
Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases Enthalten in Scientific reports Bd. 14, 19.11.2024, Nr. 1, date:12.2024: 1-11
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17724 |
Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment Enthalten in Scientific reports Bd. 15, 18.7.2025, Nr. 1, date:12.2025: 1-18
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17725 |
Using machine learning to estimate the incidence rate of intimate partner violence Enthalten in Scientific reports Bd. 13, 4.4.2023, Nr. 1, date:12.2023: 1-9
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17726 |
Using machine learning to explore core risk factors associated with the risk of eating disorders among non-clinical young women in China: A decision-tree classification analysis Enthalten in Journal of eating disorders Bd. 10, 10.2.2022, Nr. 1, date:12.2022: 1-11
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17727 |
Using machine learning to explore the efficacy of administrative variables in prediction of subjective-wellbeing outcomes in New Zealand Enthalten in Scientific reports Bd. 15, 25.2.2025, Nr. 1, date:12.2025: 1-10
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17728 |
Using machine learning to find the hidden relationship between RTT and TCP throughput in WiFi Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on wireless communications and networking Bd. 2021, 20.12.2021, Nr. 1, date:12.2021: 1-18
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17729 |
Using machine learning to forecast conflict events for use in forced migration models Enthalten in Scientific reports Bd. 15, 2.8.2025, Nr. 1, date:12.2025: 1-14
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17730 |
Using machine learning to forecast domestic homicide via police data and super learning Enthalten in Scientific reports Bd. 13, 21.12.2023, Nr. 1, date:12.2023: 1-8
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