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11311 |
Proportion-based normalizations outperform compositional data transformations in machine learning applications
Enthalten in Microbiome Bd. 12, 5.3.2024, Nr. 1, date:12.2024: 1-13
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11312 |
Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique
Enthalten in Scientific reports Bd. 14, 6.2.2024, Nr. 1, date:12.2024: 1-18
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11313 |
Proposal of a new equation for estimating resting energy expenditure of acute kidney injury patients on dialysis: a machine learning approach
Enthalten in Nutrition & metabolism Bd. 17, 17.11.2020, Nr. 1, date:12.2020: 1-8
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11314 |
Proposing a machine-learning based method to predict stillbirth before and during delivery and ranking the features: nationwide retrospective cross-sectional study
Enthalten in BMC pregnancy and childbirth Bd. 21, 12.3.2021, Nr. 1, date:12.2021: 1-17
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11315 |
Proposing a machine learning-based model for predicting nonreassuring fetal heart
Enthalten in Scientific reports Bd. 15, 6.3.2025, Nr. 1, date:12.2025: 1-8
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11316 |
Proposing a short version of the Unesp-Botucatu pig acute pain scale using a novel application of machine learning technique
Enthalten in Scientific reports Bd. 15, 28.2.2025, Nr. 1, date:12.2025: 1-11
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11317 |
Proposing an ensemble machine learning based drought vulnerability index using M5P, dagging, random sub-space and rotation forest models
Enthalten in Stochastic environmental research and risk assessment Bd. 37, 6.3.2023, Nr. 7, date:7.2023: 2513-2540
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11318 |
Prospective prediction of PTSD diagnosis in a nationally representative sample using machine learning
Enthalten in BMC psychiatry Bd. 20, 10.11.2020, Nr. 1, date:12.2020: 1-10
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11319 |
Prospects of non-resonant di-Higgs searches and Higgs boson self-coupling measurement at the HE-LHC using machine learning techniques
Enthalten in Journal of high energy physics Bd. 2020, 28.12.2020, Nr. 12, date:12.2020: 1-47
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11320 |
PrOsteoporosis: predicting osteoporosis risk using NHANES data and machine learning approach
Enthalten in Biomed Central (London): BMC Research Notes Bd. 18, 11.3.2025, Nr. 1, date:12.2025: 1-10
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