Source: Virtual Congress 2020 – Digital technologies in airway diseases
Disease area: Airway diseases



Rating:

Share or cite this content

Citations should be made in the following way:
C. Janson (Uppsala, Sweden), G. Johansson (Uppsala, Sweden), K. Larsson (Stockholm, Sweden), B. Ställberg (Uppsala, Sweden), M. Mueller (Stockholm, Sweden), M. Luczko (Stockholm, Sweden), B. Kjoeller Bjeeregaard (Stockholm, Sweden), S. Fell (Stockholm, Sweden), G. Bacher (Basel, Switzerland), B. Holzhauer (Basel, Switzerland), P. Goyal (Basel, Switzerland), K. Lisspers (Uppsala, Sweden). Use of Machine learning to predict asthma exacerbations. 4802

Member's Comments

No comment yet.

Related content which might interest you: Machine learning for COPD exacerbation prediction Source: International Congress 2015 – Tele-rehabilitation in chronic lung diseases Year: 2015 Ensemble machine learning for the early detection of COPD exacerbations Source: International Congress 2017 – Best abstracts in physical activity and management of COPD Year: 2017 Early prediction of childhood asthma exacerbations through a combination of statistical and machine learning approaches. Source: Virtual Congress 2020 – Risk factors, comorbidities and remote monitoring in childhood asthma Year: 2020 Prediction model of COPD acute exacerbation with big data by machine learning methods Source: Virtual Congress 2020 – Prediction and management of outcomes in obstructive diseases Year: 2020 Learning to care: Using machine learning to improve prediction of COPD admissions Source: International Congress 2015 – Management of COPD and other respiratory diseases in primary care Year: 2015 Use of a standardized order set in the management of an acute exacerbation of COPD Source: International Congress 2014 – Markers Year: 2014 Development of a novel prediction model for acute asthma exacerbation Source: International Congress 2018 – Asthma management Year: 2018 Mathematical model to predict the risk of future exacerbations in non-smoking patients with COPD Source: International Congress 2016 – Phenotyping and monitoring airway diseases Year: 2016 Use of β-blockers and the risk of asthma exacerbations Source: International Congress 2016 – Asthma: from basic mechanisms to novel therapeutic perspectives Year: 2016 Will artificial intelligence really transform clinical practice? Applications in asthma and COPD Source: Virtual Congress 2021 – Airway diseases Year: 2021 Relationship between the ability to learn dry-powder inhaler use and the cognitive functions in patients with COPD Source: International Congress 2015 – Novel strategies for the management of asthma, COPD and airway infections Year: 2015 Frequency of COPD exacerbations in the real-life out-patient DACCORD cohort Source: International Congress 2014 – Rationale behind respiratory drug development Year: 2014 Laboratory and clinical parameters in predicting risk of future exacerbations in both non-smoking and smoking COPD patients Source: International Congress 2014 – Systemic biomarkers for airway diseases Year: 2014 Use of beta-agonist therapy prior to hospital attendance for severe exacerbations of asthma Source: Annual Congress 2013 –Predictors and triggers of asthma and COPD exacerbations Year: 2013 Combining digital technologies to monitor asthma control and predict asthma exacerbations Source: Virtual Congress 2020 – Digital health: a brave new world? Year: 2020 Assessing symptoms in COPD: Use of the E-RS daily digital diary in early drug development Source: International Congress 2016 – Monitoring airway diseases with clinical tools Year: 2016 Assessing the risk of future severe asthma exacerbations using CARAT questionnaire and lung function Source: Annual Congress 2013 –Lung function tests to monitor airway diseases Year: 2013 Identifying patients at risk for future exacerbations of asthma: Development of a prediction model Source: International Congress 2015 – Non-inflammatory monitoring of airway diseases Year: 2015 Effects of a home-based early pulmonary rehabilitation program on health resources use after a severe exacerbation of COPD Source: Annual Congress 2013 –The latest insights in pulmonary rehabilitation (part 1) Year: 2013 Impact of short training of inhalation technique on the course of asthma and COPD Source: International Congress 2017 – Pulmonary drug and devices delivery Year: 2017