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1.
Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients.
J Electrocardiol
; 82: 42-51, 2024.
Artículo
en Inglés
| MEDLINE | ID: mdl-38006763
2.
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation.
BMC Med Inform Decis Mak
; 23(1): 25, 2023 02 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-36732708
3.
Cohort study of prediction of venous thromboembolism in emergency department patients with extremity symptoms.
Intern Emerg Med
; 2024 Jul 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-38954105
4.
The prevalence of clinically relevant delayed intracranial hemorrhage in head trauma patients treated with oral anticoagulants is very low: a retrospective cohort register study.
Scand J Trauma Resusc Emerg Med
; 32(1): 42, 2024 May 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-38730480
5.
The skåne emergency medicine (SEM) cohort.
Scand J Trauma Resusc Emerg Med
; 32(1): 37, 2024 Apr 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-38671511
6.
Factors most strongly associated with breathlessness in a population aged 50-64 years.
ERJ Open Res
; 10(2)2024 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-38529345
7.
Factors important for health-related quality of life in men and women: The population based SCAPIS study.
PLoS One
; 18(11): e0294030, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37922283
8.
Machine learning compared with rule-in/rule-out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations.
J Am Coll Emerg Physicians Open
; 2(2): e12363, 2021 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-33778804
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