Back to search

Article

A Random Forest Algorithm-Based Prediction Model for Moderate to Severe Acute Postoperative Pain After Orthopedic Surgery Under General Anesthesia

2023-05-30

Abstract excerpt

<h4>Background: </h4> Postoperative pain is one of the most common complications after surgery. In order to detect early and intervene in time for moderate to severe postoperative pain, it is necessary to identify risk factors and construct clinical prediction models. This study aimed to identify significant risk factors and establish a better-performing model to predict moderate to severe acute postoperative pain...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
ac461f4d-2a85-5d2b-bc6b-caa309fbf49a
DOI
10.21203/rs.3.rs-2969052/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Random Forest Algorithm-Based Prediction Model for Moderate to Severe Acute Postoperative Pain After Orthopedic Surgery Under General AnesthesiaDOI 10.21203/rs.3.rs-2969052/v1
Select a neighboring publication to make it the new centre.