PATENT CLAIM ANALYSIS

Application Number: 16223393
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["455", "404100"]

Abstract:
In a Personal Emergency Response System (PERS) service, activation of a wearable call device by a PERS client causes a speakerphone console to connect with a PERS call center to enable the PERS client to converse with a call center operator while a PERS client profile is retrieved from a PERS database and displayed on a display component at the PERS call center. From the profile, values of a set of features are generated for the PERS client. An emergency dispatch risk prediction or other risk prediction is computed over a future time horizon for the PERS client based on the generated values of the set of features, and is displayed on the display component. The risk prediction may be wirelessly sent to a mobile device for display on the mobile device.

Claim (Index 40):
The system of  claim 21 , wherein the set of features includes at least one of: an emergency dispatch event frequency feature; a plurality of different emergency dispatch event recency features, each different emergency dispatch event recency feature indicating recency of an emergency dispatch for a different type of medical event; a check-in call frequency feature and the emergency dispatch risk model positively correlates higher check-in call number or frequency with higher predicted emergency dispatch risk; and an accidental call frequency feature and the emergency dispatch risk model positively correlates higher accidental call number or frequency with higher predicted emergency dispatch risk.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 98.0
- Lexical Diversity: 2.07353
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15317440', '14862535', '14862511', '14862494', '15747965']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7039401083582326
- 35 USC 102 Novelty (BERT): 0.5708251786613829
- Combined Prediction Score: 0.6906286153885477
- Mean Citation Score: 252.18341
- Max Citation Score: 521.0048
- Similarity Product: 341.75965613632206

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

Dataset: test