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Artikel 391 Using deep learning-based natural language processing to identify reasons for statin nonuse in patients with atherosclerotic cardiovascular disease
Enthalten in Communications medicine Bd. 2, 15.7.2022, Nr. 1, date:12.2022: 1-9
Online Ressource
Artikel 392 Using machine learning and natural language processing in triage for prediction of clinical disposition in the emergency department
Enthalten in BMC emergency medicine Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-18
Online Ressource
Artikel 393 Using natural language processing and machine learning to identify breast cancer local recurrence
Enthalten in BMC bioinformatics Bd. 19, 28.12.2018, Nr. 17, date:12.2018: 65-74
Online Ressource
Artikel 394 Using natural language processing methods to classify use status of dietary supplements in clinical notes
Enthalten in BMC medical informatics and decision making Bd. 18, 23.7.2018, Nr. 2, date:7.2018: 15-22
Online Ressource
Artikel 395 Using natural language processing to automatically classify written self-reported narratives by patients with migraine or cluster headache
Enthalten in The journal of headache and pain Bd. 23, 30.9.2022, Nr. 1, date:12.2022: 1-12
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Artikel 396 Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data
Enthalten in BMC psychiatry Bd. 24, 24.7.2024, Nr. 1, date:12.2024: 1-9
Online Ressource
Artikel 397 Utilization of a natural language processing-based approach to determine the composition of artifact residues
Enthalten in BMC bioinformatics Bd. 25, 27.9.2024, Nr. 1, date:12.2024: 1-8
Online Ressource
Artikel 398 Validating Automated Integrative Complexity: Natural Language Processing and the Donald Trump Test
Enthalten in Journal of social and political psychology Bd. 8, 30.09.2020, Nr. 2
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Artikel 399 Validation of deep learning natural language processing algorithm for keyword extraction from pathology reports in electronic health records
Enthalten in Scientific reports Bd. 10, 20.11.2020, Nr. 1, date:12.2020: 1-9
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