Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Anne, Mottram"'
Autor:
Ivan Protsyuk, Martin G. Seneviratne, Andre Saraiva, Natalie Harris, Hugh Montgomery, Mustafa Suleyman, Xavier Glorot, Dominic King, Jack W. Rae, Clifton R. Baker, Alistair Connell, Suman V. Ravuri, Trevor Back, Clemens Meyer, Nenad Tomasev, Harry Askham, Michal Zielinski, Ruth M. Reeves, Joseph R. Ledsam, Shakir Mohamed, Thomas F. Osborne, Cian Hughes, Chris Laing, Alan Karthikesalingam, Valerio Magliulo, Anne Mottram, Christopher Nielson, Sebastien Baur, Julien Cornebise, Demis Hassabis, Geraint Rees
Publikováno v:
Nature Protocols. 16:2765-2787
Early prediction of patient outcomes is important for targeting preventive care. This protocol describes a practical workflow for developing deep-learning risk models that can predict various clinical and operational outcomes from structured electron
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1547705a8f9b73ddd1995e08dd7f633d
https://doi.org/10.1038/s41596-021-00513-5
https://doi.org/10.1038/s41596-021-00513-5
Autor:
Hugh Montgomery, Alan Karthikesalingam, Xavier Glorot, Christopher Nielson, Harry Askham, Suman V. Ravuri, Trevor Back, Joseph R. Ledsam, Michal Zielinski, Kelly S. Peterson, Geraint Rees, Alistair Connell, Nenad Tomasev, Julien Cornebise, Ivan Protsyuk, Andre Saraiva, Demis Hassabis, Cian Hughes, Chris Laing, Ruth M. Reeves, Shakir Mohamed, Dominic King, Anne Mottram, Jack W. Rae, Mustafa Suleyman, Clemens Meyer, Clifton R. Baker
Publikováno v:
Nature
The early prediction of deterioration could have an important role in supporting healthcare professionals, as an estimated 11% of deaths in hospital follow a failure to promptly recognize and treat deteriorating patients1. To achieve this goal requir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3716eea45fa33fb37c38efb1a54cdd0
https://doi.org/10.1038/s41586-019-1390-1
https://doi.org/10.1038/s41586-019-1390-1
Autor:
Anne Mottram, Jessica Schrouff, Eric Loreaux, Martin G. Seneviratne, Diana Mincu, Nenad Tomasev, Ivan Protsyuk, Shaobo Hou, Alan Karthikesalingam, Sebastien Baur
Publikováno v:
CHIL
Recurrent Neural Networks (RNNs) are often used for sequential modeling of adverse outcomes in electronic health records (EHRs) due to their ability to encode past clinical states. These deep, recurrent architectures have displayed increased performa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::401bf20c03b42922b13baa9a0f5f8887
https://doi.org/10.1145/3450439.3451858
https://doi.org/10.1145/3450439.3451858
Autor:
Alan Karthikesalingam, Eric Loreaux, Alistair Connell, Hugh Montgomery, Jessica Schrouff, Natalie Harris, Anne Mottram, Nenad Tomasev, Martin G. Seneviratne, Subhrajit Roy, Diana Mincu, Yuan Xue, Ivan Protsyuk
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
ObjectiveMultitask learning (MTL) using electronic health records allows concurrent prediction of multiple endpoints. MTL has shown promise in improving model performance and training efficiency; however, it often suffers from negative transfer – i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65dc9607e6aef28111d3ab70d51ea7e4
https://pubmed.ncbi.nlm.nih.gov/34151965
https://pubmed.ncbi.nlm.nih.gov/34151965
Autor:
Nenad, Tomašev, Natalie, Harris, Sebastien, Baur, Anne, Mottram, Xavier, Glorot, Jack W, Rae, Michal, Zielinski, Harry, Askham, Andre, Saraiva, Valerio, Magliulo, Clemens, Meyer, Suman, Ravuri, Ivan, Protsyuk, Alistair, Connell, Cían O, Hughes, Alan, Karthikesalingam, Julien, Cornebise, Hugh, Montgomery, Geraint, Rees, Chris, Laing, Clifton R, Baker, Thomas F, Osborne, Ruth, Reeves, Demis, Hassabis, Dominic, King, Mustafa, Suleyman, Trevor, Back, Christopher, Nielson, Martin G, Seneviratne, Joseph R, Ledsam, Shakir, Mohamed
Publikováno v:
Nature protocols. 16(6)
Early prediction of patient outcomes is important for targeting preventive care. This protocol describes a practical workflow for developing deep-learning risk models that can predict various clinical and operational outcomes from structured electron
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::b6eee043792243fcb4afed951517d636
https://pubmed.ncbi.nlm.nih.gov/33953393
https://pubmed.ncbi.nlm.nih.gov/33953393
Autor:
Ivan Protsyuk, Xavier Glorot, Christopher Nielson, Alistair Connell, Cian Hughes, Shakir Mohamed, Chris Laing, Julien Cornebise, Andre Saraiva, Ruth M. Reeves, Demis Hassabis, Alan Karthikesalingam, Hugh Montgomery, Jack W. Rae, Clemens Meyer, Dominic King, Mustafa Suleyman, Suman V. Ravuri, Michal Zielinski, Anne Mottram, Harry Askham, Geraint Rees, Joseph R. Ledsam, Clifton R. Baker, Nenad Tomasev, Kelly S. Peterson, Trevor Back
Early detection of patient deterioration is key to unlocking the potential for targeted preventative care and improving patient outcomes. This protocol describes a workflow for developing deep learning continuous risk models for early prediction of f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca81db07e34dd4c756362e089da89768
https://doi.org/10.21203/rs.2.10083/v1
https://doi.org/10.21203/rs.2.10083/v1
Autor:
Anne Mottram
Publikováno v:
Nursing standard (Royal College of Nursing (Great Britain) : 1987). 26(34)
I share the frustration of your correspondent (letters April 11) who deplores the use of mobile phones and social networking sites such as Twitter and Facebook in the workplace. I also agree that their use should be restricted in the clinical area.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14d74f6ea015134380c473b550b9ade1
https://pubmed.ncbi.nlm.nih.gov/28075845
https://pubmed.ncbi.nlm.nih.gov/28075845
Autor:
Anne Mottram
Publikováno v:
Journal of Clinical Nursing. 20:3143-3151
Aims and objectives. To explore patients’ experiences following discharge from the day surgery unit. Background. The shape of twenty-first surgical care is changing. Due to political drivers, the self-care ethos and cost containment as well as tech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b9a6f7f3ab7828e837ab11f46f60538
https://doi.org/10.1111/j.1365-2702.2011.03763.x
https://doi.org/10.1111/j.1365-2702.2011.03763.x
Autor:
Anne Mottram
Publikováno v:
International Journal of Nursing Studies. 48:165-174
Background The amount and complexity of (ambulatory) day surgery is rapidly expanding internationally. Nurses have a responsibility to provide quality care for day surgery patients. To do this they must understand all aspects of the patient experienc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbef1cc17dec730d98ee586ab70b8313
https://doi.org/10.1016/j.ijnurstu.2010.07.007
https://doi.org/10.1016/j.ijnurstu.2010.07.007
Autor:
Anne Mottram
Publikováno v:
Journal of Advanced Nursing. 67:140-148
Aim: the aim of the study was to explore patients’ experiences of day surgery using a sociological framework of analysis. Background: although day surgery has increased globally in the last 20 years, little applied sociological research has been un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c38246a4382c8464c7e50bab661b7c20
https://doi.org/10.1111/j.1365-2648.2010.05476.x
https://doi.org/10.1111/j.1365-2648.2010.05476.x