Data driven phenotyping and COVID-19 case definitions: a pattern recognition approach

G. Vavougios (Larissa, Greece), C. Konstantatos (Larissa, Greece), P. Sinigalias (Larissa, Greece), S. Zarogiannis (Larissa, Greece), K. Kolomvatsos (Larissa, Greece), K. Gourgoulianis (Larissa, Greece)

Source: Virtual Congress 2021 – Epidemiology and burden of tuberculosis and other lung diseases
Session: Epidemiology and burden of tuberculosis and other lung diseases
Session type: E-poster
Number: 1730

Congress or journal article abstractE-poster

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
G. Vavougios (Larissa, Greece), C. Konstantatos (Larissa, Greece), P. Sinigalias (Larissa, Greece), S. Zarogiannis (Larissa, Greece), K. Kolomvatsos (Larissa, Greece), K. Gourgoulianis (Larissa, Greece). Data driven phenotyping and COVID-19 case definitions: a pattern recognition approach. 1730

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:
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



Temporal stability of asthma phenotypes identified by a clustering approach: An ECRHS-SAPALDIA-EGEA study
Source: Annual Congress 2012 - Asthma: from childhood environment to adult phenotypes
Year: 2012

Features of asthma management: quantifying the patient‘s perspective using discrete choice modelling
Source: Eur Respir J 2006; 28: Suppl. 50, 122s
Year: 2006

Semantic pattern analysis of patient perceptions using automated co-occurrence information mapping
Source: Annual Congress 2012 - Improving education for the healthcare team and patients
Year: 2012

Clinical COPD phenotypes: a novel approach using principal component and cluster analyses
Source: Eur Respir J 2010; 36: 531-539
Year: 2010



A comparison of unsupervised methods based on dichotomous data to identify clusters of airways symptoms: latent class analysis and partitioning around medoids methods.
Source: International Congress 2018 – Airway disease: recent discoveries
Year: 2018


Where do we stand with asthma phenotypes derived from data-driven methods? A systematic review
Source: International Congress 2019 – Respiratory function assessment in disease
Year: 2019


Some principles and practices of genetic biobanking studies
Source: Eur Respir J 2009; 33: 419-425
Year: 2009



Assessing the feasibility of GSK’s clinical genetic data re-use for drug target identification and validation: A respiratory case study
Source: International Congress 2017 – Asthma genetics and genomics in patients and populations
Year: 2017

Simplified processing of induced sputum applicable to the developing world: comparison with standard methodology
Source: Eur Respir J 2003; 22: Suppl. 45, 38s
Year: 2003

Different definitions in childhood asthma: how dependable is the dependent variable?
Source: Eur Respir J 2010; 36: 48-56
Year: 2010



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

Presentation of study results - graphical and numerical presentation
Source: Annual Congress 2003 - PG9 - Epidemiological methods and statistics for pulmonologists
Year: 2003

Data partitioning from the two waves of COVID-19 pandemic: is the landscape really evolving? A single institution experience.
Source: Virtual Congress 2021 – Burden and epidemiology of COVID-19
Year: 2021


Using the GRADE approach for producing clinical practice guidelines: theory and step by step description of the process
Source: International Congress 2014 – Developing evidence-based guidelines for ERS: theory, practicalities and challenges
Year: 2014

Data integration: the way to personalised treatment in severe asthma
Source: International Congress 2016 – Molecular phenotyping of severe asthma
Year: 2016