Source: International Congress 2019 – Evaluation of breathing in children when they are asleep, healthy or ill
Disease area: Paediatric lung diseases



Rating:

Share or cite this content

Citations should be made in the following way:
E. Lauhkonen (London, United Kingdom), A. Grafton (Cambridge, United Kingdom), S. Motamedi (Cambridge, United Kingdom), C. Restarick (Cambridge, United Kingdom), J. Lasenby (Cambridge, United Kingdom), R. Iles (London, United Kingdom). Using Adaptive Principal Component Analysis (APCA) and Machine Learning to characterise paediatric asthma in data collected by Structured Light Plethysmography (SLP). 922

Member's Comments

No comment yet.

Related content which might interest you: Use of Principal Component and Cluster Analysis to Describe Phenotypes in COPD. Source: International Congress 2019 – COPD treatment: cohorts and real-world studies Year: 2019 Identifying Asthmatic Children using Tidal Breathing Parameters Measured by Structured Light Plethysmography (SLP) Source: International Congress 2018 – Asthma and drugs Year: 2018 Structured Light Plethysmography (SLP) in COVID-19 children: a focus on Multisystem Inflammatory Syndrome in Children (MIS-C) Source: Virtual Congress 2021 – Acute and chronic lung infections in children Year: 2021 COPD and Asthma Differentiation using Quantitative CT Biomarkers by Hybrid Feature Selection and Machine Learning Source: Virtual Congress 2021 – Pulmonary neoplasia and related pathologies Year: 2021 Reproducibility of Structured Light Plethysmography (SLP) in different positions Source: Virtual Congress 2020 – Advances in lung function testing Year: 2020 Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning Source: Virtual Congress 2021 – Acute COVID - 19 Year: 2021 A Patient Feedback Driven, Stacked Machine-Learning Approach to At-Home COPD Triage Source: Virtual Congress 2020 – Digital health interventions in respiratory medicine Year: 2020 Machine Learning for Predicting Health Care Utilization in COPD using Quantitative CT Imaging Source: Virtual Congress 2020 – Imaging-based phenotyping in pulmonary disease Year: 2020 ‘E-Noting Nodulomics’: Automating Electronic Clinical Data Mining and Analysis of Pulmonary Nodules Using a Python Algorithm Source: International Congress 2018 – Lung cancer: from early diagnosis to modern monitoring strategies Year: 2018 LATE-BREAKING ABSTRACT: Assessment of variability in 6-min walk speed in patients with COPD using the Gait Real-time Analysis Interactive Lab (GRAIL) Source: International Congress 2014 – Latest insights in physical activity, exercise testing and muscles Year: 2014 Title Development and preliminary psychometric testing of the Respiratory Nurse Sensitive Outcome Indicator tool (RNSOI) for patients with COPD. Source: International Congress 2017 – Delivering person-centred care across the spectrum of respiratory nursing Year: 2017 Spirometry longitudinal data analysis software (SPIROLA) in a routine clinical laboratory Source: International Congress 2014 – Respiratory function: quality and new technologies Year: 2014 Late Breaking Abstract - Comparison of Portable Oxygen Concentrators using a COPD Patient Simulation Model Source: Virtual Congress 2021 – Lung function evaluation and assessment of airway diseases Year: 2021 Comparison of Forced and Impulse Oscillometry Measurements: A Clinical Population and Printed Airway Model Study. Source: International Congress 2018 – Innovations in equipment and their application Year: 2018 Using Step Count to Enhance Daily Physical Activity in PH, a pilot-study (STEP in PH). Source: International Congress 2019 – Pulmonary arterial hypertension: recent advances from the bedside Year: 2019 A Novel Big Data Analysis of Longitudinal CPAP Compliance Patterns Source: International Congress 2019 – Treatment of continuous positive airway pressure and monitoring of its effects Year: 2019 Performance of Brief ICF-Sleep Disorders and Obesity Core Set in OSA Patients Source: Virtual Congress 2020 – From pathophysiology to clinical consequences of sleep and breathing disorders Year: 2020 Comprehensive characterization of asthma patients using the Bayesian Network Model Source: International Congress 2017 – "Alarming" immunological patterns in asthma Year: 2017 Real-world application of Spirometry Quality Control Deep-Learning Algorithm Source: Virtual Congress 2021 – Impact of COVID - 19, quality assurance and technology on pulmonary function Year: 2021 Validity Of Physical Function ICU Test-scored (PFIT-s) Early Period After Major Abdominal Surgery Source: International Congress 2017 – Airway clearance techniques and respiratory physiotherapy in hospitalized patients Year: 2017