Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks

Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks

Abstract Background Epilepsy is the fourth-most common neurological disorder, affecting an estimated 50 million patients globally. Nearly 40% of patients have uncontrolled seizures yet incur 80% of the cost. Anti-epileptic drugs commonly result in resistance and reversion to uncontrolled drug-resist...

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Bibliographic Details
Main Authors: Gavin T. Kress, Fion Chan, Claudia A. Garcia, Warren S. Merrifield
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Neural network
Support vector machine
Gaussian naïve bayes
Decision tree
Gradient boosting decision tree
Online Access:https://doi.org/10.1186/s12911-022-02038-7

Internet

https://doi.org/10.1186/s12911-022-02038-7

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