PATENT CLAIM ANALYSIS

Application Number: 15957184
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["422", "068100"]

Abstract:
The present invention generally relates to the determination of an analyte concentration (quantitative determination) or whether an analyte threshold level has been passed (qualitative determination) in a biological sample through employment of a disposable analytical microprocessor device. The device can include a batch-specific, self-executable algorithm for the calculation of the analyte concentration.

Claim (Index 8):
The device as recited in  claim 1  wherein said stored batch specific parameter values are comprised of information relating to at least one parameter chosen from the group comprised of: specific analyte calculation performance of a batch of disposable consumables, mathematical approximation formulas, encryption keys, analyte name in ASCI-code, the production batch number, the batch production date, the batch expiration date, number of measurements allowed, analyte identification data, the dates when each individual disposable consumable was used, the remaining number of disposable consumables in the end-user package, the individual identification number of said sensing meter used, the individual identification of the person operating said sensing mater, measuring/timing protocols, and high-low alarm level analyte concentration values.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.40476
- Patent Class: 422.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12201898', '13929404', '11369204', '13929495', '13929782']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7709836238917679
- 35 USC 102 Novelty (BERT): 0.544024264213811
- Combined Prediction Score: 0.7482876879239722
- Mean Citation Score: 212.16478
- Max Citation Score: 417.20703
- Similarity Product: 403.8192508412915

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

Dataset: test