audiogram descriptions

[Grochman]

We need to implement all the features from the list below. This task aim is only to implement the calculations to get the numerical values / categories. Presenting the data to the user will be a separate task after this one is done.

Easy to do with well defined conditions

• symetry
• bilateral (obustronny)
• hearing level for each ear

RandomForest

• wysoko / nisko częstotliwościowy ubytek for each ear

As for the randomForest the easiest way will be to finish the training in our second repo and export the condition values to dart so we dont need any server side.

Also we should verify that for 100% there is no well defined condition for this characteristic. If there is we should first implement it in that way. Then we could implement all the features using machine learining approach as an alternative (which might have little value to the user but will have academical value and will allow for more complex feature detection in the future)

[Grochman]

might want to check out Katz J., 1994, Handbook of Clinical Audiology, wyd. 4., Williams & Wilkins, Baltimore.