Automated identification of asthma patients within an electronical medical record database using machine learning Source: Annual Congress 2012 - Paediatric respiratory epidemiology. Wheeze: where, how and why? Year: 2012
A data management and analysis platform for RASP-UK multiomics clinical datasets Source: Virtual Congress 2021 – Exacerbations of chronic respiratory diseases, including SARS-CoV-2 Year: 2021
Data driven phenotyping and COVID-19 case definitions: a pattern recognition approach Source: Virtual Congress 2021 – Epidemiology and burden of tuberculosis and other lung diseases Year: 2021
To use or not to use – a qualitative analysis of factors associated with using or not using an electronic health (eHealth) tool among people with COPD Source: Virtual Congress 2020 – Aspects of pulmonary rehabilitation: part 2 Year: 2020
Unsupervised learning algorithm for chronic cough detection in the electronic health records (EHR) data Source: Virtual Congress 2020 – Chronic cough: only symptom or disease? Year: 2020
Time to change the single-centre approach to management of patients with tuberculosis: a novel network platform with automatic data import and data sharing Source: ERJ Open Res, 4 (1) 00108-2017; 10.1183/23120541.00108-2017 Year: 2018
Some principles and practices of genetic biobanking studies Source: Eur Respir J 2009; 33: 419-425 Year: 2009
Revelations from the analysis of free-text responses in the lung information needs questionnaire Source: Eur Respir J 2005; 26: Suppl. 49, 544s Year: 2005
Rhino-asthma survey: GPS‘ and patients‘ knowledge, behaviour and expectations Source: Eur Respir J 2007; 30: Suppl. 51, 285s Year: 2007
Patient’s views on a computer decision support for diagnosing asthma: a qualitative study. Source: Virtual Congress 2021 – Primary care diagnosis and multimorbidities Year: 2021
Combining information from prognostic scoring tools for CAP: an American view on how to get the best of all worlds Source: Eur Respir J 2006; 27: 9-11 Year: 2006
Exploring the potential benefits of digital health technology for the management of COPD: a qualitative study of patient perceptions Source: ERJ Open Res, 5 (2) 00239-2018; 10.1183/23120541.00239-2018 Year: 2019
Patient preferences for information and involvement in clinical decision making: distinct entities in the patient-pulmonologist encounter Source: Eur Respir J 2004; 24: Suppl. 48, 282s Year: 2004
A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis Source: Eur Respir J, 56 (2) 2000775; 10.1183/13993003.00775-2020 Year: 2020
Explaining predictions of an automated pulmonary function test interpretation algorithm Source: International Congress 2019 – M-health/e-health I Year: 2019
Continuous detection and prediction model of bacteremia for in-patients: deep learning for time-series EHR data Source: Virtual Congress 2020 – Lower respiratory tract infections in clinical practice Year: 2020
Phospholipids qualitative analysis: A new diagnostic tool to characterize ABCA3 -Associated disease and guide genetic analysis Source: Annual Congress 2010 - Usefulness of bronchoalveolar lavage in diffuse parenchymal lung disease Year: 2010
Integration of multi-omics datasets enables molecular classification of COPD Source: Eur Respir J, 51 (5) 1701930; 10.1183/13993003.01930-2017 Year: 2018
Big data analysis in telemedicine in sleep: the European status, opportunities and pitfalls Source: Virtual Congress 2021 – Digital health meets sleep breathing disorders Year: 2021