PATENT CLAIM ANALYSIS

Application Number: 15929037
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["348", "065000"]

Abstract:
An automated medical note generation system utilizes text, audio and video data to automatically create medical notes in real-time from data sources that are generated actively during clinical events.

Claim (Index 2):
The computer-implemented system of  claim 1 , wherein the first neural network, second neural network and third neural network each comprise a long term short memory (LSTM).

Metadata:
- Claim Count in Document: 11.0
- Percentile: 96.0
- Lexical Diversity: 1.06897
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13294959', '15731201', '12296986', '13921038', '12222097']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6079849171868081
- 35 USC 102 Novelty (BERT): 0.4995131470703182
- Combined Prediction Score: 0.5971377401751592
- Mean Citation Score: 144.762718
- Max Citation Score: 158.6853
- Similarity Product: 90.6238974037707

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

Dataset: test