AIMC Topic: Peak Expiratory Flow Rate

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A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest model.

PloS one Aug 21, 2025
Asthma is a frequent and long-lasting disorder associated with airway inflammation. The disease severity may lead to serious health concerns and even mortality. In this work, we propose a novel hybrid approach using machine learning models and simila...
Humans Machine Learning Algorithms Female Adult Asthma Male Middle Aged Random Forest Linear Models Peak Expiratory Flow Rate
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Curve-Modelling and Machine Learning for a Better COPD Diagnosis.

International journal of chronic obstructive pulmonary disease Jun 12, 2024
BACKGROUND: Development of new tools in artificial intelligence has an outstanding performance in the recognition of multidimensional patterns, which is why they have proven to be useful in the diagnosis of Chronic Obstructive Pulmonary Disease (COPD...
Humans Neural Networks, Computer Machine Learning Female Reproducibility of Results Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Lung Diagnosis, Computer-Assisted Predictive Value of Tests Spirometry Vital Capacity Bronchodilator Agents Peak Expiratory Flow Rate
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Performance improvement of machine learning techniques predicting the association of exacerbation of peak expiratory flow ratio with short term exposure level to indoor air quality using adult asthmatics clustered data.

PloS one Jan 7, 2021
Large-scale data sources, remote sensing technologies, and superior computing power have tremendously benefitted to environmental health study. Recently, various machine-learning algorithms were introduced to provide mechanistic insights about the he...
Humans Machine Learning Female Aged Adult Asthma Male Middle Aged Time Factors Air Pollution, Indoor Environmental Exposure Peak Expiratory Flow Rate
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