Risk stratification in deep brain stimulation surgery: Development of an algorithm to predict patient discharge disposition with 91.9% accuracy-Reference-Cited by-同舟云学术

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Risk stratification in deep brain stimulation surgery: Development of an algorithm to predict patient discharge disposition with 91.9% accuracy

Published:2018-11 Issue: Volume:57 Page:26-32
ISSN:0967-5868
Container-title:Journal of Clinical Neuroscience
language:en
Short-container-title:Journal of Clinical Neuroscience

Author:

Buchlak Quinlan D.,Kowalczyk Mark,Leveque Jean-Christophe,Wright Anna,Farrokhi Farrokh

Publisher

Elsevier BV

Subject

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

Reference83 articles.

1. Subthalamic nucleus versus globus pallidus bilateral deep brain stimulation for advanced Parkinson’s disease (NSTAPS study): a randomised controlled trial;Odekerken;Lancet Neurol,2013

2. Rapid effects of deep brain stimulation for treatment-resistant major depression;Schlaepfer;Biol Psychiatry,2013

3. Adaptive deep brain stimulation in advanced Parkinson disease;Little;Ann Neurol,2013

4. History, applications, and mechanisms of deep brain stimulation;Miocinovic;JAMA Neurol,2013

5. Deep brain stimulation restores frontostriatal network activity in obsessive-compulsive disorder;Figee;Nat Neurosci,2013

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of Visual Acuity in Patients With Microbial Keratitis;Cornea;2022-10-17

2. Investigating Risk Factors and Predicting Complications in Deep Brain Stimulation Surgery with Machine Learning Algorithms;World Neurosurgery;2020-02

3. Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review;Neurosurgical Review;2019-08-17

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