journals

journal publications grouped by year.

2024

  1. eBioMedicine
    Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical study
    Stefan Karolcik, Vasileos Manginas, Ho Quang Chanh, and 16 more authors
    The Lancet Discovery Science - eBioMedicine Jun 2024

2023

  1. Bulletin WHO
    Applying artificial intelligence and digital health technologies, Viet Nam.
    Chanh Ho Quang, Damien K Ming, Huy Nguyen Quang, and 14 more authors
    Bulletin World Health Organization Jul 2023
  2. Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness
    Bernard Hernandez, Oliver Stiff, Damien K. Ming, and 16 more authors
    Frontiers in Digital Health Feb 2023
  3. Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools
    Quang Huy Nguyen, Damien K Ming, An Phuoc Luu, and 8 more authors
    BMC Medical Informatics and Decision Making Feb 2023

2022

  1. Machine learning and synthetic outcome estimation for individualised antimicrobial cessation
    William J Bolton, Timothy M Rawson, Bernard Hernandez, and 4 more authors
    Frontiers in Digital Health Nov 2022
  2. vital_sqi: A Python package for physiological signal quality control
    Frontiers in Physiology Nov 2022
  3. The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality
    Damien K Ming, Nguyen M Tuan, Bernard Hernandez, and 8 more authors
    Frontiers in Digital Health Mar 2022
  4. Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam
    Damien K Ming, Bernard Hernandez, Sorawat Sangkaew, and 8 more authors
    PLOS Digital Health Jan 2022

2021

  1. Resistance Trend Estimation Using Regression Analysis to Enhance Antimicrobial Surveillance: A Multi-Centre Study in London 2009–2016
    Bernard Hernandez, Pau Herrero-Viñas, Timothy M Rawson, and 3 more authors
    Antibiotics Oct 2021
  2. Informing antimicrobial management in the context of COVID-19: understanding the longitudinal dynamics of C-reactive protein and procalcitonin
    Damien K Ming, Ashleigh C Myall, Bernard Hernandez, and 5 more authors
    BMC infectious diseases Sep 2021
  3. A real-world evaluation of a Case-Based Reasoning algorithm to support antimicrobial prescribing decisions in acute care
    Timothy M Rawson, Bernard Hernandez, Luke SP Moore, and 8 more authors
    Clinical Infectious Diseases Jun 2021
  4. Supervised machine learning to support the diagnosis of bacterial infection in the context of COVID-19
    Timothy M Rawson, Bernard Hernandez, Richard C Wilson, and 8 more authors
    JAC-antimicrobial resistance Mar 2021

2019

  1. Predicting quality of overnight glycaemic control in type 1 diabetes using binary classifiers
    Amparo Güemes, Giacomo Cappon, Bernard Hernandez, and 4 more authors
    IEEE Journal of Biomedical and Health Informatics Sep 2019

2018

  1. Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study
    TM Rawson, B Hernandez, LSP Moore, and 8 more authors
    Journal of Antimicrobial Chemotherapy Dec 2018
  2. Development of a patient-centred intervention to improve knowledge and understanding of antibiotic therapy in secondary care
    Timothy M Rawson, Luke SP Moore, Enrique Castro-Sanchez, and 8 more authors
    Antimicrobial Resistance & Infection Control Mar 2018

2017

  1. Supervised learning for infection risk inference using pathology data
    Bernard Hernandez, Pau Herrero, Timothy Miles Rawson, and 5 more authors
    BMC medical informatics and decision making Dec 2017
  2. A systematic review of clinical decision support systems for antimicrobial management: are we failing to investigate these interventions appropriately?
    TM Rawson, LSP Moore, B Hernandez, and 7 more authors
    Clinical Microbiology and Infection Aug 2017
  3. HEALTHINF
    Data-driven Web-based Intelligent Decision Support System for Infection Management at Point-Of-Care: Case-Based Reasoning Benefits and Limitations.
    Bernard Hernandez, Pau Herrero, Timothy M Rawson, and 4 more authors
    In International Conference on Health Informatics Jun 2017

2016

  1. Mapping the decision pathways of acute infection management in secondary care among UK medical physicians: a qualitative study
    Timothy Miles Rawson, Esmita Charani, Luke Stephen Prockter Moore, and 5 more authors
    BMC medicine Dec 2016
  2. Patient engagement with infection management in secondary care: a qualitative investigation of current experiences
    Timothy M Rawson, Luke SP Moore, Bernard Hernandez, and 5 more authors
    BMJ open Oct 2016
  3. Missed opportunities for shared decision making in antimicrobial stewardship: The potential consequences of a lack of patient engagement in secondary care
    TM Rawson, LSP Moore, B Hernandez, and 4 more authors
    International Journal of Infectious Diseases Apr 2016