Back to search

Article

Preoperative prediction of complicated appendicitis using machine learning method

2020-05-12

Abstract excerpt

<title>Abstract</title> <p>BACKGROUND Accurate preoperative prediction of complicated appendicitis (CA) could help selecting optimal treatment and reducing risks of postoperative complications. The study aimed to develop a machine learning model based on clinical symptoms and laboratory data for preoperatively predicting CA.METHODS 136 patients with clinicopathological diagnosis of acute appendicitis were retrosp...

Topics

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

Identifiers and source

Literature Corpus work
3b62981a-b73d-5e8f-9670-ad5c32cfd731
DOI
10.21203/rs.3.rs-27341/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.
Preoperative prediction of complicated appendicitis using machine learning methodDOI 10.21203/rs.3.rs-27341/v1
Select a neighboring publication to make it the new centre.