Data & Code from objective score from initial interview identifies patients with probable dissociative seizures

Published: 16 November 2020| Version 1 | DOI: 10.17632/c7stjtcgfd.1
Wesley Kerr, Emily Janio, Andrea Chau, Chelsea Braesch, Justine Le, Jessica Hori, Akash Patel, Norma Gallardo, Corinne Allas, Amir Karimi, Ishita Dubey, Siddhika Sreenivasan, Janar Bauirjan, Eric Hwang, Emily Davis, Shannon D'Ambrosio, Mona Al Banna, Rajarshi Mazumder, Ting Wu, Zachary deCant, Michael Gibbs, Edward Chang, Xingruo Zhang, Andrew Cho, Nicholas Beimer, Jerome Engel, Jr., Mark Cohen, John Stern


Deidentified data and code from the publication in Epilepsy & Behavior: Kerr WT, Janio EA, Chau AM, Braesch CT, Le JM, Hori JM, Patel AB, Gallardo NL, Allas CH, Karimi AH, Dubey I, Sreenivasan SS, Bauirjan J, Hwang ES, Davis EC, D'Ambrosio, SR, Al Banna M, Mazumder R, Wu T, DeCant ZA, Gibbs MG, Chang E, Zhang X, Cho AY, Beimer NJ, Engel J, Jr., Cohen MS, Stern JM. Objective score from initial interview identifies patients with probable dissociative seizures. Epilepsy & Behavior. 2020.


Steps to reproduce

The code will not run directly on the provided data, but will require minor modifications that may be easy for those familiar with MATLAB. Instead, we provide the compiled clean data that are generated by the code, which you see is written out in ES_Combined. All identifying information (mostly dates, MRNs) have been removed or replaced by random identifiers.


California State University Los Angeles


Epilepsy, Machine Learning Algorithm, Psychogenic Seizure, Computer-Aided Diagnosis