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11091 |
Prediction of depressive disorder using machine learning approaches: findings from the NHANES
Enthalten in BMC medical informatics and decision making Bd. 25, 17.2.2025, Nr. 1, date:12.2025: 1-12
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11092 |
Prediction of diabetes disease using an ensemble of machine learning multi-classifier models
Enthalten in BMC bioinformatics Bd. 24, 12.9.2023, Nr. 1, date:12.2023: 1-24
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11093 |
Prediction of disease progression and outcomes in multiple sclerosis with machine learning
Enthalten in Scientific reports Bd. 10, 3.12.2020, Nr. 1, date:12.2020: 1-13
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11094 |
Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations
Enthalten in BMC bioinformatics Bd. 14, 14.1.2013, Nr. 1, date:1.2013: 1-8
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11095 |
Prediction of dyskinesia in Parkinson’s disease patients using machine learning algorithms
Enthalten in Scientific reports Bd. 13, 16.12.2023, Nr. 1, date:12.2023: 1-11
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11096 |
Prediction of dysphagia aspiration through machine learning-based analysis of patients’ postprandial voices
Enthalten in Journal of neuroEngineering and rehabilitation Bd. 21, 30.3.2024, Nr. 1, date:12.2024: 1-16
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11097 |
Prediction of earth pressure balance for EPB-TBM using machine learning algorithms
Enthalten in International journal of geo-engineering Bd. 14, 11.11.2023, Nr. 1, date:12.2023: 1-31
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11098 |
Prediction of electrohydrodynamic printing behavior using machine learning approaches
Enthalten in The international journal of advanced manufacturing technology Bd. 136, 29.1.2025, Nr. 10, date:2.2025: 4439-4454
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11099 |
Prediction of emergency department presentations for acute coronary syndrome using a machine learning approach
Enthalten in Scientific reports Bd. 14, 4.10.2024, Nr. 1, date:12.2024: 1-13
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11100 |
Prediction of failures in the project management knowledge areas using a machine learning approach for software companies
Enthalten in SN applied sciences Bd. 4, 10.5.2022, Nr. 6, date:6.2022: 1-13
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