Neural network analysis of mortality risk predictors in patients after acute coronary syndrome
Aim. To study the possibilities of neural network analysis of clinical and instrumental data to predict the mortality risk in patients after acute coronary syndrome (ACS).Material and methods. The study involved 400 patients after ACS which who observed for 62 months. The criterion for the complicat...
Saved in:
Main Authors: | D. A. Shvets, A. Yu. Karasev, M. V. Smolyakov, S. V. Povetkin, V. I. Vishnevsky |
---|---|
Format: | Article |
Language: | Russian |
Published: |
«FIRMA «SILICEA» LLC
2020-04-01
|
Series: | Российский кардиологический журнал |
Subjects: | |
Online Access: | https://russjcardiol.elpub.ru/jour/article/view/3645 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Assessment of the effectiveness of treatment in patients after acute coronary syndrome
by: D. A. Shvets, et al.
Published: (2020-03-01) -
Predictors for Long-Term Prognosis after Acute Coronary Syndrome
by: Damyan Petrov, et al.
Published: (2021-06-01) -
LEFT VENTRICLE FUNCTIONAL STATUS DYNAMICS THROUGH VARIOUS ISCHEMIA CLINICAL COURSES AFTER AN ENDURED ACUTE CORONARY SYNDROME
by: D. A. Shvets, et al.
Published: (2017-12-01) -
INTERRELATION OF TRANSCUTANEOUS CORONARY INTERVENTIONS FOR ACUTE FORMS OF CORONARY HEART DISEASE AND MORTALITY PARAMETERS IN TYUMEN REGION INHABITANTS
by: V. A. Kuznetsov, et al.
Published: (2014-06-01) -
Bleeding risk scales in patients with acute coronary syndrome: place of the ORACUL scale
by: V. A. Brazhnik, et al.
Published: (2020-11-01)