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Welcome to the Semiology-Visualisation-Tool wiki!

Please note as of 26th March the branch MegaAnalysis-March2020 is most up to date (not master). Please pull this before running.

This module pre-processes the Mega_Analysis spreadsheet which has extracted thousands of patient-level semiology localisation information from published literature. In brief, it cleans the DataFrame, pivots occurences of semiology, allowing for semiology_dictionary ontology replacement regex searches, maps the documented localisations to gif parcellations and can scale these mappings using different scalers/transformers. data can be filtered based on the ground-truth used to label the localisation and lateralisation, Concordance, stereo-EEG/electrical stimulation and Epilepsy-Topology.

The slicer module then takes the output of this module (in the format of gif parcellations and patient numbers/intensities) to allow a 3D visualisation of semiology to complete the Semiology Visualisation Tool.