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Utilizing Machine Learning Algorithms to Predict Subject Genetic Mutation Class from In Silico Models of Neuronal Networks

2022-07-28

Abstract excerpt

Epilepsy affects an estimated 50 million patients across the globe making it the fourth most common neurological disorder. Up to 40% of patients have uncontrolled seizures, yet incur approximately 80% of the cost. Anti-epileptic drugs commonly result in resistance and reversion to uncontrolled drug resistant epilepsy and are commonly associated with significant adverse effects. This has led to a trial-and-error sy...

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Literature Corpus work
ea4be3cb-70fe-541b-9124-709b7686f8f5
DOI
10.21203/rs.3.rs-1871283/v1
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Utilizing Machine Learning Algorithms to Predict Subject Genetic Mutation Class from In Silico Models of Neuronal NetworksDOI 10.21203/rs.3.rs-1871283/v1
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