Predictors of in-hospital length of stay among cardiac patients: A machine learning approach-Reference-Cited by-同舟云学术

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Predictors of in-hospital length of stay among cardiac patients: A machine learning approach

Published:2019-08 Issue: Volume:288 Page:140-147
ISSN:0167-5273
Container-title:International Journal of Cardiology
language:en
Short-container-title:International Journal of Cardiology

Author:

Daghistani Tahani A.,Elshawi Radwa,Sakr Sherif,Ahmed Amjad M.,Al-Thwayee Abdullah,Al-Mallah Mouaz H.

Funder

European Regional Development Funds

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference32 articles.

1. Cardiovascular Disease;(WHO) WHO,2017

2. Strategic Priorities for Advanced Medical and Health Research;(KACST) KACfSaT,2017

3. Clinical predictors of length of stay in adults with congenital heart disease;Cedars;Heart,2017

4. Systematic review of factors influencing length of stay in ICU after adult cardiac surgery;Almashrafi;BMC Health Serv. Res.,2016

5. Length of hospital stay prediction at the admission stage for cardiology patients using artificial neural network;Tsai;J. Healthc. Eng.,2016

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