A Hypertension Parallel Healthcare System Based on the ACP Approach

Toward parallel intelligence: An interdisciplinary solution for complex systems

“…Learning models further contribute to modeling human cognitive systems. 71 Moreover, knowledge graphs 46 and mathematical models 72 are leveraged in artificial healthcare and artificial industry systems, respectively. The recent emergence of large language models (LLMs), including models such as ChatGPT, offers exciting possibilities for constructing generative agents with human behavior in artificial systems.…”

“… 4 Among these, CPSS is the most prominent, deeply integrating human, machine, and IoT resources to enable coordination among cyber, physical, and social spaces. 14 Nowadays, CPSS has become a foundational paradigm for studying systems that encompass both social and engineering complexity in areas such as transportation, 45 agriculture, 17 healthcare, 46 and other fields, 47 involving activities such as sensing, 3 , 48 , 49 , 50 computing, 51 producing, 15 and operating. 52 …”

“… 114 proposed parallel healthcare systems that distill the synthesized data from both actual and artificial systems into precise knowledge or profound intelligence for individual-specific healthcare problems, using parallel technologies. Multiple parallel healthcare systems have been developed to collaborate with doctors in diverse fields, encompassing gout, 149 surgery, 150 , 151 hypertension, 46 ophthalmia, 152 and skin disease. 153 …”