Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nikki Marinsek"'
Publikováno v:
Digital Biomarkers, Vol 4, Iss 1, Pp 73-86 (2020)
Introduction: A major challenge in the monitoring of rehabilitation is the lack of long-term individual baseline data which would enable accurate and objective assessment of functional recovery. Consumer-grade wearable devices enable the tracking of
Externí odkaz:
https://doaj.org/article/0d130ce0a3ac49448fc8a005333c76d8
Publikováno v:
Digital Biomarkers, Vol 4, Iss 1, Pp 13-20 (2020)
We conducted a survey about recent surgical procedures on a large connected population and requested each individual’s permission to access data from commercial wearable devices they may have been wearing around the time of the procedure. For subco
Externí odkaz:
https://doaj.org/article/cb70fb57043d4d09bde6271b31fa3a58
Publikováno v:
Digital Biomarkers, Vol 4, Iss 1, Pp 73-86 (2020)
Digit Biomark
Digital Biomarkers, 4 (S1)
Digit Biomark
Digital Biomarkers, 4 (S1)
Introduction: A major challenge in the monitoring of rehabilitation is the lack of long-term individual baseline data which would enable accurate and objective assessment of functional recovery. Consumer-grade wearable devices enable the tracking of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd5dd133b71e48852add6379b8ed5fe6
https://www.karger.com/Article/FullText/511531
https://www.karger.com/Article/FullText/511531
Autor:
Nikki Marinsek, Matthew B. A. McDermott, Rajesh Ranganath, Luca Foschini, Marzyeh Ghassemi, Shirly Wang
Publikováno v:
Science Translational Medicine. 13
Machine learning for health must be reproducible to ensure reliable clinical use. We evaluated 511 scientific papers across several machine learning subfields and found that machine learning for health compared poorly to other areas regarding reprodu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6405bf2c9fb5b9809a5ab4821be4377e
https://doi.org/10.1126/scitranslmed.abb1655
https://doi.org/10.1126/scitranslmed.abb1655
Autor:
Tim Althoff, Ernesto Ramirez, Luca Foschini, Andrew Trister, Allison D. Shapiro, Yuedong Wang, Nikki Marinsek, Ben Bradshaw, Ieuan Clay, Jae Min
BackgroundSince the beginning of the COVID-19 pandemic, data from smartphones and connected sensors have been used to better understand presentation and management outside the clinic walls. However, reports on the validity of such data are still spar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58bf1bc0732751bd8c0e9b3a2da9687e
https://doi.org/10.1101/2020.05.28.20115964
https://doi.org/10.1101/2020.05.28.20115964
Autor:
Alessio Signorini, Han Hee Song, Hyun Joon Jung, Andrew D. Trister, Lampros Kourtis, Filip Jankovic, Roy Yaari, Luca Foschini, Melissa Pugh, Marc Sunga, Richard J. Chen, Nikki Marinsek, Belle Tseng, Jie Shen, Vera Maljkovic
Publikováno v:
KDD
The ubiquity and remarkable technological progress of wearable consumer devices and mobile-computing platforms (smart phone, smart watch, tablet), along with the multitude of sensor modalities available, have enabled continuous monitoring of patients
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d42ff10214cfcaf67b74a3ff505f667d
https://doi.org/10.1145/3292500.3330690
https://doi.org/10.1145/3292500.3330690