Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Yang Zhongqi"'
Autor:
Yang, Zhongqi, Azimi, Iman, Jafarlou, Salar, Labbaf, Sina, Nguyen, Brenda, Qureshi, Hana, Marcotullio, Christopher, Borelli, Jessica L., Dutt, Nikil, Rahmani, Amir M.
Publikováno v:
2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 1-4
The adverse effects of loneliness on both physical and mental well-being are profound. Although previous research has utilized mobile sensing techniques to detect mental health issues, few studies have utilized state-of-the-art wearable devices to fo
Externí odkaz:
http://arxiv.org/abs/2410.00020
Health monitoring systems have revolutionized modern healthcare by enabling the continuous capture of physiological and behavioral data, essential for preventive measures and early health intervention. While integrating this data with Large Language
Externí odkaz:
http://arxiv.org/abs/2406.16252
To perform effective causal inference in high-dimensional datasets, initiating the process with causal discovery is imperative, wherein a causal graph is generated based on observational data. However, obtaining a complete and accurate causal graph p
Externí odkaz:
http://arxiv.org/abs/2405.01744
Autor:
Yang, Zhongqi, Wang, Yuning, Yamashita, Ken S., Sabah, Maryam, Khatibi, Elahe, Azimi, Iman, Dutt, Nikil, Borelli, Jessica L., Rahmani, Amir M.
Publikováno v:
Smart Health 32 (2024): 100464
Emotional states, as indicators of affect, are pivotal to overall health, making their accurate prediction before onset crucial. Current studies are primarily centered on immediate short-term affect detection using data from wearable and mobile devic
Externí odkaz:
http://arxiv.org/abs/2403.13841
Publikováno v:
Open Medicine, Vol 12, Iss 1, Pp 481-484 (2017)
Situs inversus with dextrocardia is a rare condition, with complete transposition of all the body organs, including the heart. Percutaneous coronary intervention (PCI) in these patients is technically difficult because of the mirror image of organs.
Externí odkaz:
https://doaj.org/article/22193201f5754d92bd33b16a50876258
Autor:
Yang, Zhongqi, Khatibi, Elahe, Nagesh, Nitish, Abbasian, Mahyar, Azimi, Iman, Jain, Ramesh, Rahmani, Amir M.
Publikováno v:
Smart Health 32 (2024): 100465
The profound impact of food on health necessitates advanced nutrition-oriented food recommendation services. Conventional methods often lack the crucial elements of personalization, explainability, and interactivity. While Large Language Models (LLMs
Externí odkaz:
http://arxiv.org/abs/2403.00781
Mental health conditions, prevalent across various demographics, necessitate efficient monitoring to mitigate their adverse impacts on life quality. The surge in data-driven methodologies for mental health monitoring has underscored the importance of
Externí odkaz:
http://arxiv.org/abs/2402.10862
Autor:
Abbasian, Mahyar, Yang, Zhongqi, Khatibi, Elahe, Zhang, Pengfei, Nagesh, Nitish, Azimi, Iman, Jain, Ramesh, Rahmani, Amir M.
Effective diabetes management is crucial for maintaining health in diabetic patients. Large Language Models (LLMs) have opened new avenues for diabetes management, facilitating their efficacy. However, current LLM-based approaches are limited by thei
Externí odkaz:
http://arxiv.org/abs/2402.10153
Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AI
Autor:
Abbasian, Mahyar, Khatibi, Elahe, Azimi, Iman, Oniani, David, Abad, Zahra Shakeri Hossein, Thieme, Alexander, Sriram, Ram, Yang, Zhongqi, Wang, Yanshan, Lin, Bryant, Gevaert, Olivier, Li, Li-Jia, Jain, Ramesh, Rahmani, Amir M.
Generative Artificial Intelligence is set to revolutionize healthcare delivery by transforming traditional patient care into a more personalized, efficient, and proactive process. Chatbots, serving as interactive conversational models, will probably
Externí odkaz:
http://arxiv.org/abs/2309.12444
Publikováno v:
In Pharmacological Research - Modern Chinese Medicine December 2024 13