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25571 |
Predicting peak inundation depths with a physics informed machine learning model
Enthalten in Scientific reports Bd. 14, 27.6.2024, Nr. 1, date:12.2024: 1-12
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25572 |
Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome
Enthalten in BMC bioinformatics Bd. 20, 5.1.2019, Nr. 1, date:12.2019: 1-11
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25573 |
Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods
Enthalten in BMC medical informatics and decision making Bd. 22, 28.12.2022, Nr. 1, date:12.2022: 1-10
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25574 |
Predicting peripartum depression using elastic net regression and machine learning: the role of remnant cholesterol
Enthalten in BMC pregnancy and childbirth Bd. 25, 8.5.2025, Nr. 1, date:12.2025: 1-12
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25575 |
Predicting periprosthetic joint infection in primary total knee arthroplasty: a machine learning model integrating preoperative and perioperative risk factors
Enthalten in BMC musculoskeletal disorders Bd. 26, 11.3.2025, Nr. 1, date:12.2025: 1-15
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25576 |
Predicting permeability in sandstone reservoirs from mercury injection capillary pressure data using advanced machine learning algorithms
Enthalten in Arabian journal of geosciences Bd. 17, 28.11.2024, Nr. 12, date:12.2024: 1-18
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25577 |
Predicting pharmaceutical prices. Advances based on purchase-level data and machine learning
Enthalten in BMC public health Bd. 24, 15.7.2024, Nr. 1, date:12.2024: 1-11
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25578 |
Predicting phase behavior of grain boundaries with evolutionary search and machine learning
Enthalten in Nature Communications Bd. 9, 1.2.2018, Nr. 1, date:12.2018: 1-9
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25579 |
Predicting phenotypes of asthma and eczema with machine learning
Enthalten in BMC medical genomics Bd. 7, 8.5.2014, Nr. 1, date:5.2014: 1-10
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25580 |
Predicting phosphorylation sites using machine learning by integrating the sequence, structure, and functional information of proteins
Enthalten in Journal of translational medicine Bd. 19, 24.5.2021, Nr. 1, date:12.2021: 1-11
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