Search Results - Neil J Sebire
- Showing 1 - 20 results of 31
- Go to Next Page
-
1
-
2
-
3
-
4
-
5
-
6
-
7
A scoping review of the electronic collection and capture of patient reported outcome measures for children and young people in the hospital setting by Anne Alarilla, Neil J. Sebire, Josh Keith, Mario Cortina-Borja, Jo Wray, Gwyneth Davies
Published in PLOS Digital Health (2025-01-01)Get full text
Article -
8
-
9
Implementation of prognostic machine learning algorithms in paediatric chronic respiratory conditions: a scoping review by Eleanor Main, Neil J Sebire, John Booth, Gwyneth Davies, Sanja Stanojevic, Nicole Filipow, Andrew M Taylor
Published in BMJ Open Respiratory Research (2022-03-01)Get full text
Article -
10
Method to apply temporal graph analysis on electronic patient record data to explore healthcare professional–patient interaction intensity: a cohort study by Neil J Sebire, Stephen D Marks, John Booth, Spiros Denaxas, Rebecca Pope, William A Bryant, Maria H Eriksson
Published in BMJ Health & Care Informatics (2024-09-01)Get full text
Article -
11
Identification of bacterial pathogens in sudden unexpected death in infancy and childhood using 16S rRNA gene sequencing by Lily Gates, Talisa Mistry, Olumide Ogunbiyi, Kerry-Anne Kite, Nigel J. Klein, Neil J. Sebire, Dagmar G. Alber
Published in Frontiers in Microbiology (2023-06-01)Get full text
Article -
12
-
13
Impact of the COVID-19 pandemic on radiology appointments in a tertiary children’s hospital: a retrospective study by Mario Cortina-Borja, Andrew Taylor, Neil J Sebire, Susan Shelmerdine, Dean Langan, Owen Arthurs, John Booth, William A Bryant
Published in BMJ Paediatrics Open (2021-07-01)Get full text
Article -
14
Establishing risk factors and outcomes for congenital hypothyroidism with gland in situ using population-based data linkage methods: study protocol by Erin Walker, Rachel Knowles, Catherine Peters, Neil J Sebire, Melissa Cabecinha, Helen Aitkenhead, Milagros Ruiz Nishiki, Adeboye Ifederu, Nadia Schoenmakers
Published in BMJ Paediatrics Open (2022-10-01)Get full text
Article -
15
Prediction cardiovascular deterioration in a paediatric intensive care unit (PicEWS): a machine learning modelling study of routinely collected health-care dataResearch in context by Dan Fredman Stein, Michael J. Carter, John Booth, Mark J. Peters, Samiran Ray, Neil J. Sebire, Payam Barnaghi, Mario Cortina-Borja
Published in EClinicalMedicine (2025-07-01)Get full text
Article -
16
Corrigendum to ‘Use of an ambient artificial intelligence tool to improve quality of clinical documentation’ Future Healthcare Journal Volume 11, Issue 3, September 2024, 100157... by Jasmine Balloch, Shankar Sridharan, Geralyn Oldham, Jo Wray, Paul Gough, Robert Robinson, Neil J. Sebire, Saleh Khalil, Elham Asgari, Christopher Tan, Andrew Taylor, Dominic Pimenta
Published in Future Healthcare Journal (2025-06-01)Get full text
Article -
17
Use of an ambient artificial intelligence tool to improve quality of clinical documentation by Jasmine Balloch, Shankar Sridharan, Geralyn Oldham, Jo Wray, Paul Gough, Robert Robinson, Neil J. Sebire, Saleh Khalil, Elham Asgari, Christopher Tan, Andrew Taylor, Dominic Pimenta
Published in Future Healthcare Journal (2024-09-01)Get full text
Article -
18
Mimicking 3D bone microenvironment using a hybrid hydrogel-nanocomposite scaffold and human adipose-derived stem cells for bone differentiation and vascularization by Amel Ibrahim, Oliver FW Gardner, Naira Rodriguez-Florez, John C Hutchinson, Alexander Seifalian, Daniel Thomas-Vazque, Neil J Sebire, David Dunaway, Neil W Bulstrode, Patrizia Ferretti
Published in Biofunctional Materials (2024-04-01)Get full text
Article -
19
TP53 mutational status is a potential marker for risk stratification in Wilms tumour with diffuse anaplasia. by Mariana Maschietto, Richard D Williams, Tasnim Chagtai, Sergey D Popov, Neil J Sebire, Gordan Vujanic, Elizabeth Perlman, James R Anderson, Paul Grundy, Jeffrey S Dome, Kathy Pritchard-Jones
Published in PLoS ONE (2014-01-01)Get full text
Article -
20
Communicating exploratory unsupervised machine learning analysis in age clustering for paediatric disease by Eleni Pissaridou, Harry Hemingway, Neil J Sebire, John Booth, Spiros Denaxas, Rebecca Pope, Andrew M Taylor, Daniel Key, William A Bryant, Stuart Bowyer, Joshua William Spear, Anastasia Spiridou
Published in BMJ Health & Care Informatics (2024-07-01)Get full text
Article
