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Christian Herff
And a new out with , Mark Janssen and others: "Machine learning prediction of motor response after deep brain stimulation in Parkinson's disease"
Introduction: Despite careful patient selection for subthalamic nucleus deep brain stimulation (STN DBS), some Parkinson's disease patients show limited improvement of motor disability. Non-conclus...
medRxiv medRxiv @medrxivpreprint
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Christian Herff 7. lis
Odgovor korisniku/ci @jeroenhabets1 @DigNeurosurgeon
In this study, we trained a logistic regression to predict the motor outcome of Deep Brain Stimulation one year after surgery from preoperative variables.
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Christian Herff 7. lis
Odgovor korisniku/ci @jeroenhabets1 @DigNeurosurgeon
For this, we divided our 90 patients into weak and strong responders:
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Christian Herff 7. lis
Odgovor korisniku/ci @jeroenhabets1 @DigNeurosurgeon
Our prediction model achieves very good quality (AUC = 0.88) in a cross-validation. By analyzing the odd-ratios in the logistic regression, we can see which preoperative variables have the highest impact on the prediction.
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Christian Herff 7. lis
Odgovor korisniku/ci @jeroenhabets1 @DigNeurosurgeon
While old age at PD onset generally predicted weaker responders, a high UPDRS IV score predicted better motor outcome. Interestingly, we didn't see a large predictive value of the Levodopa response.
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