AIMC Topic: Cough

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Identification of Elderly Patients with Lower Respiratory Tract Infection by Artificial Intelligence Analysis of Cough Pattern Sounds.

Discovery medicine Dec 1, 2023
BACKGROUND: Automatic recognition of cough sounds shows promise in the diagnosis of respiratory conditions. This study investigated the diagnostic value of cough sounds in elderly patients with lower respiratory tract infection (LRTI).
Humans Artificial Intelligence Female ROC Curve Cough Respiratory Tract Infections Aged Male
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Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Pneumonia is one of the leading causes of morbidity and mortality in children. This is especially true in resource poor regions lacking diagnostic facilities, bringing about the need for rapid diagnostic tests for pneumonia. Cough is a common symptom...
Humans Neural Networks, Computer Respiration Disorders Pneumonia Cough Deep Learning Child
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A Multimodal Dataset for Automatic Edge-AI Cough Detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Counting the number of times a patient coughs per day is an essential biomarker in determining treatment efficacy for novel antitussive therapies and personalizing patient care. Automatic cough counting tools must provide accurate information, while ...
Humans Cough Sound Neural Networks, Computer Artificial Intelligence Algorithms
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A Cough-based deep learning framework for detecting COVID-19.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
This paper presents a deep learning framework for detecting COVID-19 positive subjects from their cough sounds. In particular, the proposed approach comprises two main steps. In the first step, we generate a feature representing the cough sound by co...
Humans COVID-19 Sound Deep Learning Cough
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Natural Language Processing: A Promising Research Tool of Chronic Cough for the Big Data Era.

Chest Jun 1, 2021
Pulmonary Medicine Natural Language Processing Clinical Decision Rules Humans Chronic Disease Cough Big Data
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Artificial intelligence enabled preliminary diagnosis for COVID-19 from voice cues and questionnaires.

The Journal of the Acoustical Society of America Feb 1, 2021
The COVID-19 outbreak was announced as a global pandemic by the World Health Organization in March 2020 and has affected a growing number of people in the past few months. In this context, advanced artificial intelligence techniques are brought to th...
Voice Humans Cough Artificial Intelligence Cues COVID-19 Surveys and Questionnaires
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Is my cough COVID-19?

Lancet (London, England) Dec 12, 2020
Reproducibility of Results Diagnosis, Computer-Assisted Artificial Intelligence Humans COVID-19 Cough Algorithms
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A Comparative Study of Features for Acoustic Cough Detection Using Deep Architectures.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Automatic cough detection is key to tracking the condition of patients suffering from tuberculosis. We evaluate various acoustic features for performing cough detection using deep architectures. As most previous studies have adopted features designed...
Neural Networks, Computer Speech Tuberculosis Acoustics Cough Humans Hearing
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Unsupervised learning technique identifies bronchiectasis phenotypes with distinct clinical characteristics.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease Mar 1, 2016
BACKGROUND: Unsupervised learning technique allows researchers to identify different phenotypes of diseases with complex manifestations.
Bronchiectasis Forced Expiratory Volume Pseudomonas aeruginosa Cohort Studies Unsupervised Machine Learning Middle Aged Humans Phenotype Female Body Mass Index Cough Anti-Bacterial Agents Risk Factors Prospective Studies Sputum Follow-Up Studies Quality of Life Cluster Analysis Adult Aged Male
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