Zobrazeno 1 - 10
of 208
pro vyhledávání: '"Gururajan, Raj"'
Autor:
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Acharya, U Rajendra, Gururajan, Raj, Xie, Haoran, Zhou, Xujuan
Suicide is a prominent issue in society. Unfortunately, many people at risk for suicide do not receive the support required. Barriers to people receiving support include social stigma and lack of access to mental health care. With the popularity of s
Externí odkaz:
http://arxiv.org/abs/2405.05795
Autor:
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Xie, Haoran, Zhou, Xujuan, Li, Yuefeng, Acharya, U Rajendra
Repetitive Transcranial Magnetic Stimulation (rTMS) is a well-supported, evidence-based treatment for depression. However, patterns of response to this treatment are inconsistent. Emerging evidence suggests that artificial intelligence can predict rT
Externí odkaz:
http://arxiv.org/abs/2404.16913
Autor:
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Higgins, Niall, Gururajan, Raj, Zhou, Xujuan, Yong, Jianming
Federated Learning (FL) is currently one of the most popular technologies in the field of Artificial Intelligence (AI) due to its collaborative learning and ability to preserve client privacy. However, it faces challenges such as non-identically and
Externí odkaz:
http://arxiv.org/abs/2309.11044
Autor:
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Xie, Haoran, Acharya, U R, Gururajan, Raj, Zhou, Xujuan
Reinforcement learning has been increasingly applied in monitoring applications because of its ability to learn from previous experiences and can make adaptive decisions. However, existing machine learning-based health monitoring applications are mos
Externí odkaz:
http://arxiv.org/abs/2309.10576
Publikováno v:
In 1st ACM Workshop on Mobile and Wireless Sensing for Smart Healthcare (MWMSSH 2022), October 21, 2022, Sydney, NSW, Australia. ACM, New York, NY, USA, 7 pages
Mental healthcare is one of the prominent parts of the healthcare industry with alarming concerns related to patients depression, stress leading to self-harm and threat to fellow patients and medical staff. To provide a therapeutic environment for bo
Externí odkaz:
http://arxiv.org/abs/2301.08828
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
Autor:
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Li, Lin, Gururajan, Raj, Zhou, Xujuan, Acharya, U. Rajendra
Publikováno v:
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (2023): e1485
The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient monitoring (RPM) is one of the common healthcare applications that assist doctors to monitor patients with chronic or acute illness at remote locations, eld
Externí odkaz:
http://arxiv.org/abs/2301.10009
Autor:
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Gururajan, Raj, Li, Yuefeng, Zhou, Xujuan, Acharya, U Rajendra
Recent advances in remote patient monitoring (RPM) systems can recognize various human activities to measure vital signs, including subtle motions from superficial vessels. There is a growing interest in applying artificial intelligence (AI) to this
Externí odkaz:
http://arxiv.org/abs/2209.13080
Autor:
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Higgins, Niall, Gururajan, Raj, Zhou, Xujuan, Yong, Jianming
Publikováno v:
In Pattern Recognition Letters January 2024 177:121-127
Autor:
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan, Li, Yuefeng, Acharya, U. Rajendra
Publikováno v:
In Computer Methods and Programs in Biomedicine December 2023 242
Autor:
Rana, Rajib, Latif, Siddique, Gururajan, Raj, Gray, Anthony, Mackenzie, Geraldine, Humphris, Gerald, Dunn, Jeff
Distress is a complex condition which affects a significant percentage of cancer patients and may lead to depression, anxiety, sadness, suicide and other forms of psychological morbidity. Compelling evidence supports screening for distress as a means
Externí odkaz:
http://arxiv.org/abs/1902.09944