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tit all "Natural language processing."
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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
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
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
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
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
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
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
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
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
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
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