Abstract

This study aimed to identify an accurate model for predicting bleeding in aged patients with mechanical valve replacement, in the context of oral anticoagulant therapy. A random Forest model was used to determine the factors that predict bleeding events.

Author Details

Insil Jang, PhD, RN, Department of Nursing, University of Ulsan, Ulsan, Korea, Republic of (South); Ji-su Kim, PhD, RN, Department of Nursing, Chung-Ang University, Seoul, Korea, Republic of (South)

Sigma Membership

Unknown

Lead Author Affiliation

Chung-Ang University, Seoul, Korea, Republic of (South)

Type

Poster

Format Type

Text-based Document, Video Recording

Study Design/Type

N/A

Research Approach

N/A

Keywords:

Aged, Heart Valve Prosthesis Implantation, Risk Factors

Conference Name

31st International Nursing Research Congress

Conference Host

Sigma Theta Tau International

Conference Location

Virtual Event

Conference Year

2020

Video/Audio Streaming

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.

All permission requests should be directed accordingly and not to the Sigma Repository.

All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.

Acquisition

Proxy-submission

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Predictors of bleeding event among aged patients with mechanical valve replacement using Random Forest Model

Virtual Event

This study aimed to identify an accurate model for predicting bleeding in aged patients with mechanical valve replacement, in the context of oral anticoagulant therapy. A random Forest model was used to determine the factors that predict bleeding events.