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1.
Natural language processing diagnosed behavioural disturbance phenotypes in the intensive care unit: characteristics, prevalence, trajectory, treatment, and outcomes.
Crit Care
; 27(1): 425, 2023 11 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-37925406
2.
Differential clinical characteristics, management and outcome of delirium among ward compared with intensive care unit patients.
Intern Med J
; 49(12): 1496-1504, 2019 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-30887670
3.
Natural language processing diagnosed behavioral disturbance vs confusion assessment method for the intensive care unit: prevalence, patient characteristics, overlap, and association with treatment and outcome.
Intensive Care Med
; 48(5): 559-569, 2022 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-35322288
4.
Natural language processing to assess the epidemiology of delirium-suggestive behavioural disturbances in critically ill patients.
Crit Care Resusc
; 23(2): 144-153, 2021 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-38045514
5.
Prognostic performance of qSOFA in oncology patients admitted to the emergency department with suspected infection.
Asia Pac J Clin Oncol
; 17(1): 94-100, 2021 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-33078888
6.
Using language descriptors to recognise delirium: a survey of clinicians and medical coders to identify delirium-suggestive words.
Crit Care Resusc
; 21(4): 299-302, 2019 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-31778637
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