Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nils Hammerla"'
Autor:
Aiden Doherty, Dan Jackson, Nils Hammerla, Thomas Plötz, Patrick Olivier, Malcolm H Granat, Tom White, Vincent T van Hees, Michael I Trenell, Christoper G Owen, Stephen J Preece, Rob Gillions, Simon Sheard, Tim Peakman, Soren Brage, Nicholas J Wareham
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0169649 (2017)
BACKGROUND:Physical activity has not been objectively measured in prospective cohorts with sufficiently large numbers to reliably detect associations with multiple health outcomes. Technological advances now make this possible. We describe the method
Externí odkaz:
https://doaj.org/article/ccd18cb32c254941b0dca48a1b08c10e
Autor:
Francesco, Moramarco, Damir, Juric, Aleksandar, Savkov, Jack, Flann, Maria, Lehl, Kristian, Boda, Tessa, Grafen, Vitalii, Zhelezniak, Sunir, Gohil, Alex Papadopoulos, Korfiatis, Nils, Hammerla
Publikováno v:
AMIA Annu Symp Proc
Clinical notes are an efficient way to record patient information but are notoriously hard to decipher for non-experts. Automatically simplifying medical text can empower patients with valuable information about their health, while saving clinicians
Publikováno v:
COLING
A promising application of AI to healthcare is the retrieval of information from electronic health records (EHRs), e.g. to aid clinicians in finding relevant information for a consultation or to recruit suitable patients for a study. This requires se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7af9ba705d76e637d45842a315a9487
http://arxiv.org/abs/2010.16218
http://arxiv.org/abs/2010.16218
Publikováno v:
PRICAI 2019: Trends in Artificial Intelligence ISBN: 9783030299071
PRICAI (1)
PRICAI (1)
Machine learning algorithms generally suffer from a problem of explainability. Given a classification result from a model, it is typically hard to determine what caused the decision to be made, and to give an informative explanation. We explore a new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7cf0b899805cfe92a736bf9d12ec3ac
https://doi.org/10.1007/978-3-030-29908-8_4
https://doi.org/10.1007/978-3-030-29908-8_4
Autor:
roisin mcnaney, Brien, John O., Peter Gallagher, Daniel Stow, Nils Hammerla, Thomas Ploetz, Firbank, M., Cassim Ladha, Karim Ladha, Dan Jackson, Nicol Ferrier, Patrick Olivier
Publikováno v:
University of Bristol-PURE
Psychological Medicine
Psychological Medicine
BACKGROUND: Late-life depression (LLD) is associated with a decline in physical activity. Typically this is assessed by self-report questionnaires and, more recently, with actigraphy. We sought to explore the utility of a bespoke activity monitor to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::d5aa2184723f0c7209bc3697b9804502
https://research-information.bris.ac.uk/en/publications/b84b26bd-436b-4cfd-9132-98ef5fc4376e
https://research-information.bris.ac.uk/en/publications/b84b26bd-436b-4cfd-9132-98ef5fc4376e