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.
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
Recommended Citation
Jang, Insil and Kim, Ji-Su, "Predictors of bleeding event among aged patients with mechanical valve replacement using Random Forest Model" (2020). INRC (Congress). 36.
https://www.sigmarepository.org/inrc/2020/posters_2020/36
Conference Name
31st International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Virtual Event
Conference Year
2020
Rights Holder
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Acquisition
Proxy-submission
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.