Pharmacoepidemiologic Analysis of St-Elevation Myocardial Infarction Reperfusion Therapy at Saratov Region Hospitals of Different Types

Reshetko, О.V.; Furman, N. V.; Magdeev, R. M.; Dovgalevskiy, Ya. P.

doi:10.20996/1819-6446-2009-5-6-7-12

Cited by 1 publication

(2 citation statements)

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“…Since the dataset has the problem of positive and negative sample imbalance, this paper uses AUC (the area under ROC curve) and AP (average precision [ 25 , 26 ]) as evaluation indicators. Both are tenacious and robust for data with positive and negative sample imbalance.…”

Section: Resultsmentioning

confidence: 99%

“…The disease is fast developing and has a high risk of death, and an efficient, fast, and reasonable scientific emergency care process is an important guarantee for clinical life savings of patients' safety [ 25 ]. However, under the conventional care model, the procedures are cumbersome and many norms are unreasonable, which can easily delay the best time for patients to be rescued and treated [ 26 ]. The emergency department of our hospital intervened in patients with acute myocardial infarction by reengineering the emergency care process, reducing the complicated process into a simple one, and shortening the time spent on registration and payment and waiting for medical orders [ 27 ].…”

Section: Resultsmentioning

confidence: 99%

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Deep Learning-Based Emergency Care Process Reengineering of Interventional Data for Patients with Emergency Time-Series Events of Myocardial Infarction

Gao

et al. 2022

Journal of Healthcare Engineering

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This paper proposes a representation learning framework HE-LSTM model for heterogeneous temporal events, which can automatically adapt to the multiscale sampling frequency of multisource heterogeneous data. The proposed model also demonstrates its superiority over other typical approaches on real data sets. A controlled study is performed according to computerized randomization, with 38 patients in each of the two groups. The study group has a higher resuscitation success rate and patient satisfaction than the conventional group (P < 0.05), and the time from the first consultation to the completion of the first ECG, the time from the completion of the ECG to the activation of the path lab, and the time from the emergency admission to the balloon dilation were significantly shorter in the study group than in the conventional group (P < 0.05). The emergency care process reengineering intervention helps patients with acute myocardial infarction to be treated quickly and effectively, thus improving their resuscitation success rate and satisfaction rate, and is worthy to be caused in the clinic and widely applied.

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Section: Resultsmentioning

confidence: 99%