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11241 |
Projecting COVID-19 disease severity in cancer patients using purposefully-designed machine learning
Enthalten in BMC infectious diseases Bd. 21, 4.5.2021, Nr. 1, date:12.2021: 1-8
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11242 |
Proof of concept of the potential of a machine learning algorithm to extract new information from conventional SARS-CoV-2 rRT-PCR results
Enthalten in Scientific reports Bd. 13, 13.5.2023, Nr. 1, date:12.2023: 1-13
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11243 |
Proof of concept study on early forecasting of antimicrobial resistance in hospitalized patients using machine learning and simple bacterial ecology data
Enthalten in Scientific reports Bd. 14, 30.9.2024, Nr. 1, date:12.2024: 1-16
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11244 |
Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data
Enthalten in BMC bioinformatics Bd. 25, 4.1.2024, Nr. 1, date:12.2024: 1-24
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11245 |
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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11246 |
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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11247 |
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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11248 |
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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11249 |
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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11250 |
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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Administration
