A Machine Learning Solution to Predict Elective Orthopedic Surgery Case Duration

A Machine Learning Solution to Predict Elective Orthopedic Surgery Case Duration

We used surgery durations, patient demographic and personnel data taken from the East Kent Hospitals University NHS Foundation Trust (EKHUFT) over a period of 10 years (2010-2019) for a total of 25,352 patients that underwent 15 highest volume elective orthopedic surgeries, to predict future surgery...

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Bibliographic Details
Main Authors: Kunz, H. (Author), Lovegrove, T. (Author), Sahadev, D. (Author)
Format: Article
Language:English
Published: NLM (Medline) 2022
Subjects:
adult
article
climate model
controlled study
demography
elective surgery
female
human
machine learning
Machine learning
major clinical study
male
operation duration
orthopedic surgery
Predictive Modelling
random forest
Surgery Case Duration
trust
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