Back to search

Article

Predicting duration of surgery in hip and knee arthroplasty with machine learning: Operational factors are important.

2024-10-15

Abstract excerpt

<title>Abstract</title> <p>Total hip arthroplasty (THA) and total knee arthroplasty (TKA) are among the most common surgeries in the healthcare system which highly consume hospital resources. An accurate prediction of the duration of surgery (DOS) can improve operating room scheduling and subsequently enhance hospital resource allocation efficiency. Currently, hospitals generally rely on historical data average o...

Topics

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

Identifiers and source

Literature Corpus work
7436e8ff-b1e5-5922-a1ee-6fcea354f563
DOI
10.21203/rs.3.rs-4943946/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.
Predicting duration of surgery in hip and knee arthroplasty with machine learning: Operational factors are important.DOI 10.21203/rs.3.rs-4943946/v1
Select a neighboring publication to make it the new centre.