Zobrazeno 1 - 10
of 520
pro vyhledávání: '"Rahmani A. M."'
In digital healthcare, large language models (LLMs) have primarily been utilized to enhance question-answering capabilities and improve patient interactions. However, effective patient care necessitates LLM chains that can actively gather information
Externí odkaz:
http://arxiv.org/abs/2409.19487
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
Large language models (LLMs) are fundamentally transforming human-facing applications in the health and well-being domains: boosting patient engagement, accelerating clinical decision-making, and facilitating medical education. Although state-of-the-
Externí odkaz:
http://arxiv.org/abs/2408.02964
Autor:
Wang, Ziyu, Kanduri, Anil, Aqajari, Seyed Amir Hossein, Jafarlou, Salar, Mousavi, Sanaz R., Liljeberg, Pasi, Malik, Shaista, Rahmani, Amir M.
While ECG data is crucial for diagnosing and monitoring heart conditions, it also contains unique biometric information that poses significant privacy risks. Existing ECG re-identification studies rely on exhaustive analysis of numerous deep learning
Externí odkaz:
http://arxiv.org/abs/2408.10228
Autor:
Aqajari, Seyed Amir Hossein, Wang, Ziyu, Tazarv, Ali, Labbaf, Sina, Jafarlou, Salar, Nguyen, Brenda, Dutt, Nikil, Levorato, Marco, Rahmani, Amir M.
In today's fast-paced world, accurately monitoring stress levels is crucial. Sensor-based stress monitoring systems often need large datasets for training effective models. However, individual-specific models are necessary for personalized and intera
Externí odkaz:
http://arxiv.org/abs/2407.08215
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
Agents represent one of the most emerging applications of Large Language Models (LLMs) and Generative AI, with their effectiveness hinging on multimodal capabilities to navigate complex user environments. Conversational Health Agents (CHAs), a prime
Externí odkaz:
http://arxiv.org/abs/2405.04777
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
Autor:
Kazemi, Kianoosh, Ryhtä, Iina, Azimi, Iman, Niela-Vilen, Hannakaisa, Axelin, Anna, Rahmani, Amir M., Liljeberg, Pasi
The concept of Quality of Life (QoL) refers to a holistic measurement of an individual's well-being, incorporating psychological and social aspects. Pregnant women, especially those with obesity and stress, often experience lower QoL. Physical activi
Externí odkaz:
http://arxiv.org/abs/2402.16909