Currently if there are no localising values then the lateralising value isn't being utilised as the mega_analysis module integrated the SemioBrain data per patient-semiology and not globally.
'some of the extracted lateralisation have no localisation - for now these are ignored but re-inspect!'
ways to fix this
keep as is - not desirable as ignoring data
change the entire system to look at the localising GIFs and values then look at lateralising prorportions globally (instead of individually integrated as it is at the moment)
[x] 3. keep as it is but map the ignored data (lateralsing values without localising data) to unilateral GIFs
Based on discussions over MS Teams on 31st July 2020, the third option is the most consistent with the methodology of integrating lat and loc data at the level of patient-semiology.
Currently if there are no localising values then the lateralising value isn't being utilised as the mega_analysis module integrated the SemioBrain data per patient-semiology and not globally.
'some of the extracted lateralisation have no localisation - for now these are ignored but re-inspect!'
ways to fix this
[x] 3. keep as it is but map the ignored data (lateralsing values without localising data) to unilateral GIFs
Based on discussions over MS Teams on 31st July 2020, the third option is the most consistent with the methodology of integrating lat and loc data at the level of patient-semiology.