PATENT CLAIM ANALYSIS

Application Number: 16125263
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["709", "224000"]

Abstract:
An apparatus and a method are disclosed herein for improving predictive and preventive analytics, event tracking and processing of large combinations of data. In one embodiment, a method comprising, receiving a first data set, the first data set including data from a plurality of sources; applying a first rule set to the first subset; responsive to detecting an emergency as a result of the application of the first rule set, generating an emergency notification; generating an intuition by (a) applying a second rule set to a second subset of the first data set, the second rule set selected from one or more rule sets based on the emergency notification, and (b) selecting a course of action based on a result of the application of the second predefined rule set; and providing the course of action to a user is disclosed.

Claim (Index 4):
The computing system of  claim 1 , wherein the one or more processors to implement logic further including:\n a compliance module to receive sensor data from the sensing and switching module to determine if one or more sensors providing sensor data meet compliance or regulatory requirements based on or more rule sets and to provide a compliance alert to wisdom engine or intuition generator if one or more sensors do not meet compliance or regulatory requirements.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 97.0
- Lexical Diversity: 2.34328
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14735975', '14497105', '11639985', '14517554', '14956403']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2307375379276305
- 35 USC 102 Novelty (BERT): 0.5845999193634908
- Combined Prediction Score: 0.2661237760712165
- Mean Citation Score: 213.4972848
- Max Citation Score: 464.14218
- Similarity Product: 462.1885309281135

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

Dataset: test