e-learning
resources
Vienna 2012
Wednesday, 05.09.2012
Paediatric respiratory epidemiology. Wheeze: where, how and why?
Login
Search all ERS
e-learning
resources
Disease Areas
Airways Diseases
Interstitial Lung Diseases
Respiratory Critical Care
Respiratory Infections
Paediatric Respiratory Diseases
Pulmonary Vascular Diseases
Sleep and Breathing Disorders
Thoracic Oncology
Events
International Congress
Courses
Webinars
Conferences
Research Seminars
Journal Clubs
Publications
Breathe
Monograph
ERJ
ERJ Open Research
ERR
European Lung White Book
Handbook Series
Guidelines
All ERS guidelines
e-learning
CME Online
Case reports
Short Videos
SpirXpert
Procedure Videos
CME tests
Reference Database of Respiratory Sounds
Radiology Image Challenge
Brief tobacco interventions
EU Projects
VALUE-Dx
ERN-LUNG
ECRAID
UNITE4TB
Disease Areas
Events
Publications
Guidelines
e-learning
EU Projects
Login
Search
Automated identification of asthma patients within an electronical medical record database using machine learning
M. Engelkes, Z. Afzal, H. Janssens, J. Kors, M. Schuemie, K. Verhamme, M. Sturkenboom (Rotterdam, Netherlands)
Source:
Annual Congress 2012 - Paediatric respiratory epidemiology. Wheeze: where, how and why?
Session:
Paediatric respiratory epidemiology. Wheeze: where, how and why?
Session type:
Poster Discussion
Number:
4655
Disease area:
Paediatric lung diseases
Rating:
You must
login
to grade this presentation.
Share or cite this content
Citations should be made in the following way:
M. Engelkes, Z. Afzal, H. Janssens, J. Kors, M. Schuemie, K. Verhamme, M. Sturkenboom (Rotterdam, Netherlands). Automated identification of asthma patients within an electronical medical record database using machine learning. Eur Respir J 2012; 40: Suppl. 56, 4655
You must
login
to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.
Member's Comments
No comment yet.
You must
Login
to comment this presentation.
Related content which might interest you:
Late Breaking Abstract - Implications of treatable traits and treatment choices on exacerbation risk in moderate-severe asthma
Management of Severe Asthma in Pediatric Patients by an Interdisciplinary Team in a Public Hospital Setting.
Late Breaking Abstract - Efficacy of Breathox® device inhalation on acute symptoms associated with COVID-19 (BREATH study)
Related content which might interest you:
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
Application of text analytics for identification of respiratory diseases in medical claims
Source: Virtual Congress 2020 – Digital health interventions in respiratory medicine
Year: 2020
Incident asthma surveillance using electronic medical record (EMR) data
Source: Annual Congress 2009 - Epidemiology of COPD and infectious lung diseases
Year: 2009
COPD patient tele-monitoring using interactive questionnaires and electronic patient record
Source: Virtual Congress 2020 – Digital health interventions in respiratory medicine
Year: 2020
Use of computerized medical databases to improve care for asthmatic patients
Source: Eur Respir J 2001; 18: Suppl. 33, 46s
Year: 2001
The results of automated data capture following introduction of electronic patient record (EPR) in a specialist bronchiectasis clinic
Source: Annual Congress 2012 - Epidemiology: risk factors and prognosis in respiratory infections
Year: 2012
Conceptualization of the clinical diagnosis components for digital coding in structured electronic data-bases of phthisiopulmonology.
Source: International Congress 2018 – Medical education via the web and the internet
Year: 2018
Text mining - a tool for quality assessment of medical records
Source: International Congress 2019 – M-health/e-health II
Year: 2019
Costs of a methodology applied to the ambulatory follow up of patients with continuous asthma in a primary care practice. An observational study using an electronic record with data base linked by the internet
Source: Eur Respir J 2006; 28: Suppl. 50, 209s
Year: 2006
Electronic patient record as a facilitator to guideline based asthma management
Source: Annual Congress 2011 - Integrated care and telehealth in primary care
Year: 2011
Predicting childhood allergy using machine learning methods on multi-omics data
Source: Virtual Congress 2021 – Biomarkers and risk factors in childhood asthma
Year: 2021
Telespirometry as a tool for medical training
Source: Annual Congress 2007 - Primary care respiratory problems
Year: 2007
The establishment of a database for appointment booking, study reporting, discharging, non-invasive ventilator equipment tracking and auditing of a sleep laboratory
Source: Eur Respir J 2006; 28: Suppl. 50, 726s
Year: 2006
Internet-based home asthma telemonitoring - can patients handle the technology?
Source: Annual Congress 2007 - Primary care: information technology: new ways of monitoring in primary care
Year: 2007
Web based inhaler educational package: inclusion of basic principles is more effective than written information and video alone
Source: Eur Respir J 2004; 24: Suppl. 48, 504s
Year: 2004
Systematic review: validation of asthma recording in electronic health records
Source: International Congress 2017 – Asthma epidemiology among children and adults: from biomarkers to ACOS
Year: 2017
A qualitative study of user perspectives on electronic monitoring devices for adherence in asthma
Source: Virtual Congress 2020 – Burden and predictive factors for chronic lung diseases and comorbidity
Year: 2020
Evaluation of a simulator in medical school as a learning tool for severe pneumonia
Source: Annual Congress 2008 - Influence of teaching models on skills and knowledge of medical doctors
Year: 2008
The clinical use of an internet-based asthma teleconsultation system
Source: Annual Congress 2006 - New developments in the management of asthma
Year: 2006
Evidence for and practical implementation of telephone, video-call and on-line consultations
Source: Virtual Congress 2021 – Living with a new norm: providing quality care in the post-COVID era
Year: 2021
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking "Accept", you consent to the use of the cookies.
Accept