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9801 - 9810 von 9911
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Artikel 9801 Using artificial intelligence to predict post-operative outcomes in congenital heart surgeries: a systematic review
Enthalten in BMC cardiovascular disorders Bd. 24, 20.12.2024, Nr. 1, date:12.2024: 1-19
Online Ressource
Artikel 9802 Using artificial intelligence to predict the intrauterine insemination success rate among infertile couples
Enthalten in Middle East Fertility Society: Middle East Fertility Society journal Bd. 26, 15.12.2021, Nr. 1, date:12.2021: 1-7
Online Ressource
Artikel 9803 Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections
Enthalten in BMC medical informatics and decision making Bd. 19, 23.8.2019, Nr. 1, date:12.2019: 1-11
Online Ressource
Artikel 9804 Using artificial intelligence to support compliance with the general data protection regulation
Enthalten in Artificial intelligence and law Bd. 25, 1.9.2017, Nr. 4, date:12.2017: 429-443
Online Ressource
Artikel 9805 Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals
Enthalten in Scientometrics Bd. 89, 23.8.2011, Nr. 2, date:11.2011: 523-551
Online Ressource
Artikel 9806 Using Generative Artificial Intelligence in Health Economics and Outcomes Research: A Primer on Techniques and Breakthroughs
Enthalten in PharmacoEconomics - open Bd. 9, 29.4.2025, Nr. 4, date:7.2025: 501-517
Online Ressource
Artikel 9807 Using hybrid artificial intelligence approach based on a neuro-fuzzy system and evolutionary algorithms for modeling landslide susceptibility in East Azerbaijan Province, Iran
Enthalten in Earth science informatics Bd. 14, 1.7.2021, Nr. 4, date:12.2021: 1861-1882
Online Ressource
Artikel 9808 Using novel micropore technology combined with artificial intelligence to differentiate Staphylococcus aureus and Staphylococcus epidermidis
Enthalten in Scientific reports Bd. 14, 24.3.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 9809 Using of Molecular Markers in Prediction of Wheat (Triticum aestivum L.) Hybrid Grain Yield Based on Artificial Intelligence Methods and Multivariate Statistics
Enthalten in Russian journal of genetics Bd. 58, 15.5.2022, Nr. 5, date:5.2022: 603-611
Online Ressource
Artikel 9810 Using simple artificial intelligence methods for predicting amyloidogenesis in antibodies
Enthalten in BMC bioinformatics Bd. 11, 8.2.2010, Nr. 1, date:12.2010: 1-13
Online Ressource


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