PATENT CLAIM ANALYSIS

Application Number: 15862819
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["702", "019000"]

Abstract:
A method and system for optimizing insulin dosages for diabetic subjects which includes a processor for calculating basal and bolus dosages to be recommended for meal types including breakfast, lunch, dinner, snack, or at miscellaneous times. The bolus calculations are specifically directed to time periods which are taken from either pre-meal, post-meal, bedtime, mid-sleep or miscellaneous times. The processor calculates an optimized bolus for a specific time period and meal type based upon prior basal dosages, prior blood glucose doses, hypoglycemia thresholds, mid-point of target ranges, and subject insulin sensitivity factors. A display is provided to the subject for sensing the optimized insulin dosage recommended at a specific time period and for a specific meal type.

Claim (Index 25):
The system of  claim 24 , wherein calculating the current meal bolus comprises:\n when the patient is on a fixed meal plan, calculating the current meal bolus by multiplying the previous meal bolus times the meal bolus adjustment factor; or when the patient is not on a fixed meal plan:\n receiving an estimated number of carbohydrates to be ingested by the patient for the associated meal type from the user interface; \n obtaining a current carbohydrate to insulin ratio for the associated meal type; and \n calculating the current meal bolus by dividing the estimated number of carbohydrates by the current carbohydrate to insulin ratio for the associated meal type.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 86.0
- Lexical Diversity: 1.77027
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13610287', '14861427', '15677397', '15403880', '15283838']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3231142901454137
- 35 USC 102 Novelty (BERT): 0.6006892880500747
- Combined Prediction Score: 0.3508717899358798
- Mean Citation Score: 474.27200199999993
- Max Citation Score: 547.3365
- Similarity Product: 486.3207006026208

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

Dataset: test