A machine learning-driven approach to improve patient-centered care in pulmonary fibrosis - Milan 2023

Digital health innovations in respiratory healthcare

Chair(s): Konstantinos Kostikas, Yet Hong Khor

Session type: Poster session

A machine learning-driven approach to improve patient-centered care in pulmonary fibrosis

Jiwon Jung

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QUALITY OF ANDROID APPS FOR COPD AND ASTHMA PATIENTS IN UKRAINE

Mariia Tsyben

Poster

Abstract

Ballistocardiographic pad for detection of heart rate in respiratory diseases.

Vratislav Sedlak

Poster

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Transforming Irish health care delivery through digital health technology with a global orientation through the perspective lens of the service user

Tara Byrne

Poster

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The use of digital web-based video training for correct inhalation technique during the COVID-19 pandemic

Maximilian Wollsching-strobel

Poster

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Literature-mining in research of Post-Acute Sequelae of Covid-19

Kristina Piontkovskaya

Poster

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A wearable system for personal air pollution exposure: a walk-about in Milan

Sara Bernasconi

Poster

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Access to health care is a human right: a focus group study in COPD patients regarding eHealth accessibility

Esther I. Metting

Poster

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Development of the iRECHARGE web application (app) for Pulmonary Rehabilitation (PR) in India using Design Thinking Process (DTP)

Shruti Sahasrabudhe

Poster

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HHT Virtual Imaging Case Conferences - A New Way Forward for Rare Disease Management

Dilini Vethanayagam

Poster

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Feasibility and Safety of Oxygen Saturation Telemonitoring in Covid-19: an observational study

Jacopo Simonetti

Poster

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APPS FOR COPD AND ASTHMA PATIENTS IN UKRAINE: ANALYSIS OF ANDROID MARKETPLACE

Mariia Tsyben

Poster

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Development of an optimal machine learning model to detect features of wheezing in children

Kyunghoon Kim

Poster

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Evolution of patient perception and use of home spirometry over time

Karen Parsons

Poster

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Prediction of static lung volumes through spirometric parameters - a machine learning approach

Marco Pereira

Poster

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Prospective observational study of physical activity measurement using ePRO for evaluating the severity and prognosis in patients with interstitial pneumonia.

Kentaro Ito

Poster

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Barriers to digital usage for patients with chronic respiratory diseases

Mark Burns

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A machine learning-driven approach to improve patient-centered care in pulmonary fibrosis

Jiwon Jung

Poster

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Causes of failed smoking cessation attempts among active smokers.

Fatiha Bounoua

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AirPredict - A mobile app for monitoring personal exposure to Particulate Matter and respiratory outcomes in asthma patients

Michele Atzeni

Poster

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Environmental impact of a CF virtual clinic

David Green

Poster

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CDN Connection Issue

The ERS International Congress 2023, Milan

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