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 12):
An artificial pancreas apparatus for insulin delivery, the artificial pancreas comprising:\n at least one non-transitory memory operable to store program code; a model prediction control (MPC) controller including at least one processor operable to read said program code and operate as instructed by said program code, said program code causing the at least one processor to: determine residuals based on prediction models; store, in the at least one non-transitory memory, the determined residuals; calculate a trust index by quantifying uncertainty of the prediction models using the stored residuals; and tune the MPC controller in real time based on the calculated value of the trust index; and deliver the 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): 0.4247475950539457
- 35 USC 102 Novelty (BERT): 0.5020611323618304
- Combined Prediction Score: 0.4324789487847341
- Mean Citation Score: 255.057302
- Max Citation Score: 271.97745
- Similarity Product: 179.05936698566074

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