Method for determining an uncertainty level of deep reinforcement learning network and device implementing such method
US12036391B2 · kind B2 · utility
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Key dates
| Filing date | Nov 16, 2023 |
| Grant date | Jul 16, 2024 |
| Priority date | — |
| Expiry date | Nov 16, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H40/60
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Method for determining a recommendation value of a control parameter of a fluid infusion device. The method being implemented by a control device and comprising the steps of retrieving user data, feeding a deep reinforcement learning network, outputting a deep reinforcement learning network result, feeding an uncertainty certificates, outputting an uncertainty certificates result, comparing the uncertainty certificates result, determining the recommendation value, of a control parameter of the fluid infusion device based on a state of the unique user using a control algorithm or the deep reinforcement learning network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.