AgHealth+: Privacy-Aware Agentic AI for IoT Healthcare (PAAI Framework)
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| Natura: | Recurso digital |
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2026
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| _version_ | 1866901472546914304 |
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| author | Syed, Toqeer Ali Akarma, Ali Ali, Ahmad Lee, It Ee Jan, Salman Khan, Sohail Nauman, Muhammad |
| author_facet | Syed, Toqeer Ali Akarma, Ali Ali, Ahmad Lee, It Ee Jan, Salman Khan, Sohail Nauman, Muhammad |
| contents | Official implementation of the PAAI framework — a four-layer constrained reinforcement learning and BDI multi-agent architecture for chronic disease management in IoT healthcare. Combines a custom Gymnasium environment, MaskablePPO with Lagrangian safety constraints, a hash-chained audit log, and a three-tier Human-in-the-Loop governance model. Validated on a 12-month synthetic cohort of 500 patients and on MIMIC-IV real ICU data. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18891708 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AgHealth+: Privacy-Aware Agentic AI for IoT Healthcare (PAAI Framework) Syed, Toqeer Ali Akarma, Ali Ali, Ahmad Lee, It Ee Jan, Salman Khan, Sohail Nauman, Muhammad agentic AI IoT healthcare reinforcement learning BDI agents privacy-preserving human-in-the-loop chronic disease management MIMIC-IV constrained MDP Official implementation of the PAAI framework — a four-layer constrained reinforcement learning and BDI multi-agent architecture for chronic disease management in IoT healthcare. Combines a custom Gymnasium environment, MaskablePPO with Lagrangian safety constraints, a hash-chained audit log, and a three-tier Human-in-the-Loop governance model. Validated on a 12-month synthetic cohort of 500 patients and on MIMIC-IV real ICU data. |
| title | AgHealth+: Privacy-Aware Agentic AI for IoT Healthcare (PAAI Framework) |
| topic | agentic AI IoT healthcare reinforcement learning BDI agents privacy-preserving human-in-the-loop chronic disease management MIMIC-IV constrained MDP |
| url | https://doi.org/10.5281/zenodo.18891708 |