Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Pavitra Krishnaswamy"'
Autor:
Mila Nambiar, Yong Mong Bee, Yu En Chan, Ivan Ho Mien, Feri Guretno, David Carmody, Phong Ching Lee, Sing Yi Chia, Nur Nasyitah Mohamed Salim, Pavitra Krishnaswamy
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract Pharmacotherapy guidelines for type 2 diabetes (T2D) emphasize patient-centered care, but applying this approach effectively in outpatient practice remains challenging. Data-driven treatment optimization approaches could enhance individualiz
Externí odkaz:
https://doaj.org/article/462293f0deb84f648ad8b773a74761af
Autor:
Mojisola Erdt, Sakinah Binte Yusof, Liquan Chai, Siti Umairah Md Salleh, Zhengyuan Liu, Halimah Binte Sarim, Geok Choo Lim, Hazel Lim, Nur Farah Ain Suhaimi, Lin Yulong, Yang Guo, Angela Ng, Sharon Ong, Bryan Peide Choo, Sheldon Lee, Huang Weiliang, Hong Choon Oh, Maria Klara Wolters, Nancy F Chen, Pavitra Krishnaswamy
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e46983 (2024)
BackgroundTelehealth interventions where providers offer support and coaching to patients with chronic conditions such as heart failure (HF) and type 2 diabetes mellitus (T2DM) are effective in improving health outcomes. However, the understanding of
Externí odkaz:
https://doaj.org/article/f62e81076241493bb5e61e0ff1301cd2
Autor:
Weizhuang Zhou, Yu En Chan, Chuan Sheng Foo, Jingxian Zhang, Jing Xian Teo, Sonia Davila, Weiting Huang, Jonathan Yap, Stuart Cook, Patrick Tan, Calvin Woon-Loong Chin, Khung Keong Yeo, Weng Khong Lim, Pavitra Krishnaswamy
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 7, p e34669 (2022)
BackgroundConsumer-grade wearable devices enable detailed recordings of heart rate and step counts in free-living conditions. Recent studies have shown that summary statistics from these wearable recordings have potential uses for longitudinal monito
Externí odkaz:
https://doaj.org/article/53779a435fe84936a61d6c49417d853d
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 3, p e1001107 (2011)
A common feature in biological neuromuscular systems is the redundancy in joint actuation. Understanding how these redundancies are resolved in typical joint movements has been a long-standing problem in biomechanics, neuroscience and prosthetics. Ma
Externí odkaz:
https://doaj.org/article/db7cb6761fa44626bfdbef4255d24629
Publikováno v:
Multimodal AI in Healthcare ISBN: 9783031147708
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::494be701ee512fe429f38875ab027aa8
https://doi.org/10.1007/978-3-031-14771-5_3
https://doi.org/10.1007/978-3-031-14771-5_3
Autor:
Huijuan Yang, Aaron S. Coyner, Feri Guretno, Ivan Ho Mien, Chuan Sheng Foo, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Pavitra Krishnaswamy
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9176c7d2a6d03c2081facc2fb5a9b9e4
https://doi.org/10.1109/icassp43922.2022.9746837
https://doi.org/10.1109/icassp43922.2022.9746837
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164309
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8f85febd4de013e1a86ed64e713678c
https://doi.org/10.1007/978-3-031-16431-6_64
https://doi.org/10.1007/978-3-031-16431-6_64
Autor:
Sourav Kumar, A. Lakshminarayanan, Ken Chang, Feri Guretno, Ivan Ho Mien, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy, Praveer Singh
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031185229
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b258d23e76aaba1daa5bdc4e766999ce
https://doi.org/10.1007/978-3-031-18523-6_12
https://doi.org/10.1007/978-3-031-18523-6_12
Autor:
Stuart A. Cook, Jing Xian Teo, Chuan-Sheng Foo, Weng Khong Lim, Patrick Tan, Weizhuang Zhou, Jonathan Yap, Khung Keong Yeo, Sonia Davila, Calvin W. L. Chin, Weiting Huang, Yu En Chan, Jingxian Zhang, Pavitra Krishnaswamy
BackgroundConsumer-grade wearable devices enable detailed recordings of heart rate and step counts in free-living conditions. Recent studies have shown that summary statistics from these wearable recordings have potential uses for longitudinal monito
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb5499bb77854ba08dff15e74c1f6693
https://doi.org/10.1101/2021.10.29.21265547
https://doi.org/10.1101/2021.10.29.21265547
Autor:
Navid Alemi Koohbanani, Balagopal Unnikrishnan, Nasir M. Rajpoot, Pavitra Krishnaswamy, Syed Ali Khurram
While high-resolution pathology images lend themselves well to ‘data hungry’ deep learning algorithms, obtaining exhaustive annotations on these images for learning is a major challenge. In this article, we propose a self-supervised convolutional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb1df4c577912d29b682e41e8ca148f3
http://wrap.warwick.ac.uk/147961/1/WRAP-Self-path-self-supervision-classification-pathology-images-limited-annotations-Rajpoot-2021.pdf
http://wrap.warwick.ac.uk/147961/1/WRAP-Self-path-self-supervision-classification-pathology-images-limited-annotations-Rajpoot-2021.pdf