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Artikel 311 Natural language processing diagnosed behavioural disturbance phenotypes in the intensive care unit: characteristics, prevalence, trajectory, treatment, and outcomes
Enthalten in Critical care Bd. 27, 4.11.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 312 Natural Language Processing-Driven Microscopy Ontology Development
Enthalten in Integrating materials and manufacturing innovation Bd. 13, 11.11.2024, Nr. 4, date:12.2024: 915-926
Online Ressource
Artikel 313 Natural language processing for automatic evaluation of free-text answers — a feasibility study based on the European Diploma in Radiology examination
Enthalten in Insights into imaging Bd. 14, 19.9.2023, Nr. 1, date:12.2023: 1-9
Online Ressource
Artikel 314 Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death
Enthalten in Journal of biomedical semantics Bd. 10, 12.11.2019, Nr. 1, date:11.2019: 1-10
Online Ressource
Artikel 315 Natural language processing for electronic health records in anaesthesiology: an introduction to clinicians with recommendations and pitfalls
Enthalten in Journal of clinical monitoring and computing Bd. 38, 4.2.2024, Nr. 2, date:4.2024: 241-245
Online Ressource
Artikel 316 Natural language processing for enhanced feedback mechanisms in breast cancer care: a systematic review and comparative exploration
Enthalten in Discover artificial intelligence Bd. 5, 10.7.2025, Nr. 1, date:12.2025: 1-15
Online Ressource
Artikel 317 Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports
Enthalten in BMC medical informatics and decision making Bd. 22, 18.10.2022, Nr. 1, date:12.2022: 1-9
Online Ressource
Artikel 318 Natural language processing for mental health interventions: a systematic review and research framework
Enthalten in Translational Psychiatry Bd. 13, 6.10.2023, Nr. 1, date:12.2023: 1-17
Online Ressource
Artikel 319 Natural language processing for populating lung cancer clinical research data
Enthalten in BMC medical informatics and decision making Bd. 19, 5.12.2019, Nr. 5, date:12.2019: 1-10
Online Ressource
Artikel 320 Natural Language Processing framework for identifying abdominal aortic aneurysm repairs using unstructured electronic health records
Enthalten in Scientific reports Bd. 15, 21.7.2025, Nr. 1, date:12.2025: 1-11
Online Ressource


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