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Saisakul Chernbumroong
Saisakul Chernbumroong
Research fellow
Bekræftet mail på ntu.ac.uk
Titel
Citeret af
Citeret af
År
Elderly activities recognition and classification for applications in assisted living
S Chernbumroong, S Cang, A Atkins, H Yu
Expert Systems with Applications 40 (5), 1662-1674, 2013
3762013
Activity classification using a single wrist-worn accelerometer
S Chernbumroong, AS Atkins, H Yu
2011 5th international conference on software, knowledge information …, 2011
1682011
Genetic algorithm-based classifiers fusion for multisensor activity recognition of elderly people
S Chernbumroong, S Cang, H Yu
IEEE journal of biomedical and health informatics 19 (1), 282-289, 2014
772014
A practical multi-sensor activity recognition system for home-based care
S Chernbumroong, S Cang, H Yu
decision support systems 66, 61-70, 2014
632014
Perception of smart home technologies to assist elderly people
S Chernbumroong, A ATKINS, H Yu
4th international conference on software, knowledge, information management …, 2010
502010
Redefining β-blocker response in heart failure patients with sinus rhythm and atrial fibrillation: a machine learning cluster analysis
A Karwath, KV Bunting, SK Gill, O Tica, S Pendleton, F Aziz, AD Barsky, ...
The Lancet 398 (10309), 1427-1435, 2021
282021
Maximum relevancy maximum complementary feature selection for multi-sensor activity recognition
S Chernbumroong, S Cang, H Yu
Expert systems with applications 42 (1), 573-583, 2015
222015
Violence-related knife injuries in a UK city; epidemiology and impact on secondary care resources
NS Malik, B Munoz, C de Courcey, R Imran, KC Lee, S Chernbumroong, ...
EClinicalMedicine 20, 100296, 2020
142020
Prediction of mobility entropy in an Ambient Intelligent environment
S Chernbumroong, A Lotfi, C Langensiepen
2014 IEEE Symposium on Intelligent Agents (IA), 65-72, 2014
142014
The BCD Triage Sieve outperforms all existing major incident triage tools: Comparative analysis using the UK national trauma registry population
NS Malik, S Chernbumroong, Y Xu, J Vassallo, J Lee, DM Bowley, ...
EClinicalMedicine 36, 100888, 2021
82021
An ambient assisted living technology platform for informal carers of the elderly-icarer
A Lotfi, C Langensiepen, PA Moreno, EJ Gómez, S Chernbumroong
EAI Endorsed Transactions on Pervasive Health and Technology 3 (9), 2017
82017
Clinicians' views of patient-initiated follow-up in head and neck cancer: a qualitative study to inform the PETNECK2 trial
A Lorenc, M Wells, T Fulton-Lieuw, P Nankivell, H Mehanna, M Jepson, ...
Clinical Oncology 34 (4), 230-240, 2022
72022
Metabotypes of flavan-3-ol colonic metabolites after cranberry intake: elucidation and statistical approaches
P Mena, C Favari, A Acharjee, S Chernbumroong, L Bresciani, C Curti, ...
European journal of nutrition, 1-19, 2022
62022
Virtual Carer: Personalized support for informal caregivers of elderly
PA Moreno, S Chernbumroong, C Langensiepen, A Lotfi, EJ Gómez
Proceedings of the 9th ACM International Conference on PErvasive …, 2016
62016
Semantic-based decision support for remote care of dementia patients
T Osman, A Lotfi, C Langensiepen, S Chernbumroong, M Saeed
2014 IEEE Symposium on Intelligent Agents (IA), 89-96, 2014
62014
An ambient assisted living technology platform for informal carers of the elderly
A Lotfi, C Langensiepen, PA Moreno, EJ Gómez, S Chernbumroong
eHealth 360°: International Summit on eHealth, Budapest, Hungary, June 14-16 …, 2017
52017
Comparative analysis of major incident triage tools in children: a UK population-based analysis
J Vassallo, S Chernbumroong, N Malik, Y Xu, D Keene, G Gkoutos, ...
Emergency Medicine Journal 39 (10), 779-785, 2022
42022
A new way to build multifacetted ontologies for elderly care
C Langensiepen, A Lotfi, S Chernbumroong, PA Moreno, EJ Gómez
Proceedings of the 9th ACM International Conference on PErvasive …, 2016
42016
Paediatric major incident triage: UK military tool offers best performance in predicting the need for time-critical major surgical and resuscitative intervention
NS Malik, S Chernbumroong, Y Xu, J Vassallo, J Lee, CG Moran, ...
EClinicalMedicine 40, 101100, 2021
32021
Machine learning can predict disease manifestations and outcomes in lymphangioleiomyomatosis
S Chernbumroong, J Johnson, N Gupta, S Miller, FX McCormack, ...
European Respiratory Journal 57 (6), 2021
32021
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Artikler 1–20