PATENT CLAIM ANALYSIS

Application Number: 16236262
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-12
Patent Classification: ["707", "736000"]

Abstract:
A rules engine that allows constructing and processing rules within a software application using protocol driven processing. A machine learning algorithm may be used to assess requested procedures that are initially rejected. The machine learning algorithm may also be saved periodically or at the time of each assessment and accessed at a later time.

Claim (Index 12):
The method of  claim 9 , wherein the machine learning algorithm is a neural network.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 1.35714
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15275223', '14148050', '14296303', '14478454', '14147978']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1926407103147107
- 35 USC 102 Novelty (BERT): 0.4967273450191983
- Combined Prediction Score: 0.2230493737851595
- Mean Citation Score: 146.209134
- Max Citation Score: 156.2353
- Similarity Product: 88.0872000032246

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