PATENT CLAIM ANALYSIS

Application Number: 16069865
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["700", "029000"]

Abstract:
Presented herein are methods, and devices of adaptively tuning a zone based Model Predictive Control (MPC) controller, using at least one processor, which include determining, residuals based on prediction models storing, in a memory, the determined residuals, calculating a trust index by quantifying uncertainty of the prediction models using the stored residuals and tuning the MPC controller, in real time based on the calculated value of the trust index.

Claim (Index 11):
A method of insulin delivery using an artificial pancreas, the artificial pancreas including at least one processor, the method comprising:\n determining, using at least one of said at least one processor, residuals based on prediction models; storing, in a memory, the determined residuals; calculating a trust index, using at least one of said at least one processor, by quantifying uncertainty of the prediction models using the stored residuals; tuning a model prediction control (MPC) controller, in real time, using at least one of said at least one processor, based on the calculated value of the trust index; and controlling, using at least one of said at least one processor, the delivery of insulin based on the tuned MPC controller.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 95.0
- Lexical Diversity: 1.63265
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13708032', '15197236', '13026161', '13840429', '13722329']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4242524568816556
- 35 USC 102 Novelty (BERT): 0.5046201597121635
- Combined Prediction Score: 0.4322892271647064
- Mean Citation Score: 255.057302
- Max Citation Score: 271.97745
- Similarity Product: 170.09452074927088

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

Dataset: test