PATENT CLAIM ANALYSIS

Application Number: 16006650
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["351", "205000"]

Abstract:
A macular health measurement and storage system comprises a plurality of macular-pigment measurement machine for measuring macular pigment density in humans, a plurality of computers each of which is associated with a corresponding one the macular-pigment measuring machines, and a central host. The plurality of macular-pigment measurement machines include a device for receiving macular pigment data from a patient, at least one data transfer port, and at least one processor that enables the transfer of the macular pigment data from the transfer port. The plurality of computers include a first port coupled to the data transfer port of the corresponding macular-pigment measurement machine for receiving the macular pigment data. Each of the computers includes a second port for transferring patient data. The central host is coupled to the second ports on each of the plurality of computers. The central host includes a storage device for storing the patient data.

Claim (Index 85):
A method of developing recommendations for addressing eye-health problems, comprising the acts of:\n obtaining information from a patient at a remote location having a computer linked to macular-pigment measurement device and to a peripheral device, the information being received from the patient via the macular-pigment measurement device and the peripheral device, the information including macular-pigment data and at least three of the group consisting of eye color, age, gender, smoking status, previously diagnosed eye disease, intake of nutritional supplements, genetic information, and diet, the computer being linked to a central host; in response to a predetermined condition, transmitting at least some of the information from the storage devices to a central storage device associated with the central host.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 94.0
- Lexical Diversity: 2.78947
- Patent Class: 351.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13794791', '13087005', '15256237', '14792315', '12294827']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6615431591185694
- 35 USC 102 Novelty (BERT): 0.5888419887947761
- Combined Prediction Score: 0.6542730420861901
- Mean Citation Score: 526.3917180000002
- Max Citation Score: 537.5718400000002
- Similarity Product: 459.4037423510744

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