PATENT CLAIM ANALYSIS

Application Number: 15962128
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["600", "301000"]

Abstract:
A method of aggregating medical information can include receiving, at a remote aggregation system, individual syndromes collected by mobile personal medical devices associated with respective bodies as the mobile personal medical devices move within an environment, aggregating the individual syndromes at the remote aggregation system, and determining whether an environmental syndrome exists for at least some of the individual syndromes. Related systems and computer program products are also disclosed.

Claim (Index 1):
A method comprising:\n obtaining, by a processing system including a processor, individual syndromes collected by mobile devices associated with a plurality of bodies, wherein the individual syndromes comprise medical information measured from the plurality of bodies by the mobile devices; determining, by the processing system, whether a similarity exists between the individual syndromes based on a comparison of the individual syndromes; detecting, by the processing system, movement information from the mobile devices; obtaining, by the processing system, proximity information from the mobile devices, wherein the proximity information identifies groups of the mobile devices that have been in proximity to each other; and determining, by the processing system, whether an environmental syndrome exists for a plurality of the individual syndromes based on the movement information, the proximity information and a determination that the similarity exists between the individual syndromes.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.5
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14175060', '11581912', '12962117', '11550228', '14720454']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4936702197497115
- 35 USC 102 Novelty (BERT): 0.5204263662534343
- Combined Prediction Score: 0.4963458344000838
- Mean Citation Score: 279.61400000000003
- Max Citation Score: 363.1145
- Similarity Product: 314.8420387836695

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