covid-ht aims to provide a tool for implementing an AI layer on clinical classification effectively in order to improve detection, information availability and resource efficiency in medical environments.
Currently the way of adding another classifier to covid-ht is overriding get_current_classifier() to return an object that has the is_inferred attribute and implement the classification_tuple() - you may provide metadata in the classifier also.
It doesn't have to follow or done via the django-ai API - though you'll get its benefits if you do.
The requirement is that has to be integrated through Python in the server or instance.
The idea is to provide support for "external" classification via a REST API, so integration with a third-party classification services - i.e. written in R - is easily achivied.
Currently the way of adding another classifier to covid-ht is overriding get_current_classifier() to return an object that has the
is_inferred
attribute and implement the classification_tuple() - you may provide metadata in the classifier also.It doesn't have to follow or done via the django-ai API - though you'll get its benefits if you do.
The requirement is that has to be integrated through Python in the server or instance.
The idea is to provide support for "external" classification via a REST API, so integration with a third-party classification services - i.e. written in R - is easily achivied.