PATENT CLAIM ANALYSIS

Application Number: 16115242
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["382", "131000"]

Abstract:
Provided are a method and system for identifying and classifying the owner, age and health of an optic nerve head and its vasculature based on analysis of vector relationships of blood vessels and the neuroretinal rim within an image of the optic nerve head to each other.

Claim (Index 10):
The method of  claim 1 , comprising using at least one of machine learning, deep neural networks, and a trained algorithm to automatically identify the blood vessels and optic nerve head neuroretinal rim as belonging to the individual eye image at that moment in time.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 96.0
- Lexical Diversity: 1.36111
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13210129', '10593175', '11656075', '13510290', '14828262']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3550282674359897
- 35 USC 102 Novelty (BERT): 0.5236003697127896
- Combined Prediction Score: 0.3718854776636697
- Mean Citation Score: 277.61102200000005
- Max Citation Score: 338.30215
- Similarity Product: 229.9139523367733

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test