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Bernard Hernandez
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2020 – today
- 2024
- [j7]Damien K. Ming
, John Daniels
Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring. npj Digit. Medicine 7(1) (2024) - 2023
- [j6]Bernard Hernandez, Oliver Stiff, Damien K. Ming
Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness. Frontiers Digit. Health 5 (2023) - [j5]Quang Huy Nguyen, Damien K. Ming
Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools. BMC Medical Informatics Decis. Mak. 23(1): 24 (2023) - 2022
- [j4]William J. Bolton
Machine learning and synthetic outcome estimation for individualised antimicrobial cessation. Frontiers Digit. Health 4 (2022) - [j3]Damien K. Ming
The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality. Frontiers Digit. Health 4: 849641 (2022) - 2020
- [j2]Amparo Güemes
Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary Classifiers. IEEE J. Biomed. Health Informatics 24(5): 1439-1446 (2020)
2010 – 2019
- 2017
- [j1]Bernard Hernandez
Supervised learning for infection risk inference using pathology data. BMC Medical Informatics Decis. Mak. 17(1): 168:1-168:12 (2017) - [c2]Bernard Hernandez
Data-driven Web-based Intelligent Decision Support System for Infection Management at Point-Of-Care: Case-Based Reasoning Benefits and Limitations. HEALTHINF 2017: 119-127 - 2016
- [c1]Pau Herrero
Live demonstrator: Challenging the Bio-inspired Artificial Pancreas with a mixed-meal model library. ISCAS 2016: 1444
Coauthor Index
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