PATENT CLAIM ANALYSIS

Application Number: 16181069
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["702", "082000"]

Abstract:
Methods for data processing and control for a medical communication system are provided, including determining a sensitivity value for each sensor of a batch of in vivo analyte sensors; determining a sensitivity variation for each sensor of the batch; determining a mean sensitivity based on the sensitivity value determined for each sensor of the batch when it is determined that the determined sensitivity variation does not exceed a tolerance threshold level; associating a sensor code with each sensor of the batch of in vivo analyte sensors when the mean sensitivity is within a predetermined sensitivity range, wherein the sensor code associated with each sensor is based on a characteristic of the associated sensor; and storing the sensor code associated with at least one sensor of the batch configured to generate signals corresponding to monitored analyte level in a memory of a data processing device associated with the sensor.

Claim (Index 2):
The method of  claim 1 , wherein discarding some of the determined sensitivity values for the one or more sensors of the batch of in vivo analyte sensors comprises removing one or more outlier sensitivity values, and wherein determining the batch sensitivity is not based on the one or more outlier sensitivity values.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 2.42188
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15796274', '14223893', '13567038', '12152648', '15796262']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2185699203735087
- 35 USC 102 Novelty (BERT): 0.5213323435397323
- Combined Prediction Score: 0.2488461626901311
- Mean Citation Score: 250.26321
- Max Citation Score: 297.39938
- Similarity Product: 186.6631884364772

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

Dataset: test