Philter and COVID-19

Philter NLP Models

The natural language processing (NLP) capabilities of Philter are partly model-driven, meaning that we have trained models to identify information in text. These models are used to identify pieces of sensitive information that do not follow well-defined patterns or exist in referenced dictionaries, such as persons names. The model training process is a complex and compute-intensive procedure often taking days or even weeks to complete. Once a model is created it can be applied to text to identify specific parts of the text based on the text used to train the model and the parameters of the training.

NLP Models for Many Use-Cases and Industries

The model currently deployed in Philter is a model that is generic but yet provides good performance across many use-cases covering many different types of text. It has been our plan for some time to offer models trained for specific use-cases and industries, including non-healthcare industries, for those instances when Philter is used only on a certain type of text. This will give those specific use-cases an increase in performance when using a tailored model.

Philter’s pluggable model implementation is not quite ready yet. However, we are going to go ahead and jump a bit ahead today in announcing a model tailored for personally identifiable information in text related to COVID-19. We hope that this model will give you improved performance when identifying sensitive information in COVID-19 related text.

Model Availability

Because we are jumping ahead of ourselves in order to make this model immediately available, we don’t yet have any automation or tooling support around being able to download and install the model yourself. (We will in the future.) Until we do have the self-service tooling available, we will distribute the model and installation instructions to users of Philter via email upon request. There is no additional charge to request and use the model.

To request the Philter model trained using COVID-19 data please use our contact form and include your cloud marketplace (AWS, Azure, or GCP) subscription ID.