System and method for patient health data prediction using knowledge graph analysis

This invention describes a computer system that automatically extracts specific biochemical information from patient health records and organizes it into a smart network called a knowledge graph. It then analyzes parts of this network to find patterns and make predictions about patient health. The claims specifically focus on identifying biochemical entities from the records.

Why it matters: Filed before widespread advanced AI for text processing. The automated text mining and entity identification from health records, which was complex in 2022, is now significantly more efficient and accurate with current large language models.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, knowledge graph, text mining

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10