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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

15381 - 15390 von 16963
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Artikel 15381 Prediction of sepsis mortality in ICU patients using machine learning methods
Enthalten in BMC medical informatics and decision making Bd. 24, 16.8.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 15382 Prediction of Seronegative Hashimoto's thyroiditis using machine learning models based on ultrasound radiomics: a multicenter study
Enthalten in BMC immunology Bd. 26, 7.4.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 15383 Prediction of small-molecule compound solubility in organic solvents by machine learning algorithms
Enthalten in Journal of cheminformatics Bd. 13, 11.12.2021, Nr. 1, date:12.2021: 1-13
Online Ressource
Artikel 15384 Prediction of SMEs’ R&D performances by machine learning for project selection
Enthalten in Scientific reports Bd. 13, 10.5.2023, Nr. 1, date:12.2023: 1-9
Online Ressource
Artikel 15385 Prediction of soil organic carbon and total nitrogen affected by mine using Vis–NIR spectroscopy coupled with machine learning algorithms in calcareous soils
Enthalten in Scientific reports Bd. 14, 14.11.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 15386 Prediction of STAS in lung adenocarcinoma with nodules ≤ 2 cm using machine learning: a multicenter retrospective study
Enthalten in BMC cancer Bd. 25, 7.3.2025, Nr. 1, date:12.2025: 1-13
Online Ressource
Artikel 15387 Prediction of stent under-expansion in calcified coronary arteries using machine learning on intravascular optical coherence tomography images
Enthalten in Scientific reports Bd. 13, 23.10.2023, Nr. 1, date:12.2023: 1-12
Online Ressource
Artikel 15388 Prediction of subsequent fragility fractures: application of machine learning
Enthalten in BMC musculoskeletal disorders Bd. 25, 4.6.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 15389 Prediction of successful aging using ensemble machine learning algorithms
Enthalten in BMC medical informatics and decision making Bd. 22, 3.10.2022, Nr. 1, date:12.2022: 1-16
Online Ressource
Artikel 15390 Prediction of tablet disintegration time based on formulations properties via artificial intelligence by comparing machine learning models and validation
Enthalten in Scientific reports Bd. 15, 21.4.2025, Nr. 1, date:12.2025: 1-11
Online Ressource


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