PATENT CLAIM ANALYSIS

Application Number: 15973504
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["705", "003000"]

Abstract:
Apparatuses, systems, methods, and computer program products are disclosed for medical assessment based on voice. A query module is configured to audibly question a user from a speaker of a mobile computing device. A response module is configured to receive a verbal response of a user from a microphone of a mobile computing device. A detection module is configured to provide an assessment for a user of a medical condition based on an analysis of a received verbal response of the user.

Claim (Index 23):
A method comprising:\n querying a user with one or more questions using a user interface of a computing device; recording, on a computing device, one or more baseline verbal responses of the user to the one or more questions; re-querying the user, in response to a potential concussion event, with the one or more questions using a user interface of a computing device; recording, on a computing device, one or more test case verbal responses of the user to the re-queried one or more questions; and assessing, on a computing device, a likelihood that the user has a concussion based on a voice analysis of the recorded one or more baseline verbal responses and the recorded one or more test case verbal responses.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 93.0
- Lexical Diversity: 2.02273
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15973498', '13921997', '14887162', '14880786', '13755775']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1091991536236935
- 35 USC 102 Novelty (BERT): 0.4893225371312182
- Combined Prediction Score: 0.147211491974446
- Mean Citation Score: 161.016724
- Max Citation Score: 170.73541
- Similarity Product: 113.00661037396728

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

Dataset: test