Health records are challenging to understand and often include a lot of foreign jargon. When it comes to your healthcare, having transparency on what medications and procedures you are being prescribed without the compromise of security is key. We solve this problem by leveraging natural language modeling techniques that provide users with greater insight into their medical documents. Specifically by employing a named entity recognition model to identify keywords within a patient's help report and an informed summarization model that concisely explains your care pathway.
Most of our struggles were in actually deploying our web app on the 0G storage network.
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