Use of random forest machine learning algorithm to predict short term outcomes following posterior cervical decompression with instrumented fusion-Reference-Cited by-同舟云学术

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Use of random forest machine learning algorithm to predict short term outcomes following posterior cervical decompression with instrumented fusion

Published:2023-01 Issue: Volume:107 Page:167-171
ISSN:0967-5868
Container-title:Journal of Clinical Neuroscience
language:en
Short-container-title:Journal of Clinical Neuroscience

Author:

Cabrera Andrew,Bouterse Alexander,Nelson Michael,Razzouk Jacob,Ramos Omar,Chung David,Cheng Wayne,Danisa Olumide

Publisher

Elsevier BV

Subject

Physiology (medical),Neurology (clinical),Neurology,General Medicine,Surgery

Reference32 articles.

1. Can machine-learning improve cardiovascular risk prediction using routine clinical data?;Weng;PLoS ONE,2017

2. An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU;Nemati;Crit Care Med,2018

3. Study of cardiovascular disease prediction model based on random forest in eastern China;Yang;Sci Rep,2020

4. Random Forest-Based Prediction of Outcome and Mortality in Patients with Traumatic Brain Injury Undergoing Primary Decompressive Craniectomy;Hanko;World Neurosurg,2021

5. A Random Forest Based Predictor for Medical Data Classification Using Feature Ranking;Alam;Inf Med Unlocked,2019

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