ArticleFrontiers in medicine2021
End-to-End AI-Based Point-of-Care Diagnosis System for Classifying Respiratory Illnesses and Early Detection of COVID-19: A Theoretical Framework.
Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 65 citations in OpenAlex.
- Transformative Impact of Nanocarrier-Mediated Drug Delivery: Overcoming Biological Barriers and Expanding Therapeutic Horizons.Small science · 2024Article
- Smartphone-based device for point-of-care diagnostics of pulmonary inflammation using convolutional neural networks (CNNs).Scientific reports · 2024Article
- Classification of Adventitious Sounds Combining Cochleogram and Vision Transformers.Sensors (Basel, Switzerland) · 2024Article
- Screening COVID-19 by Swaasa AI platform using cough sounds: a cross-sectional study.Scientific reports · 2023Article
- A Two-Phase Feature Selection Method for Identifying Influential Spreaders of Disease Epidemics in Complex Networks.Entropy (Basel, Switzerland) · 2023Article
- A novel scoring system for early assessment of the risk of the COVID-19-associated mortality in hospitalized patients: COVID-19 BURDEN.European journal of medical research · 2023Article
- DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis.Medical engineering & physics · 2022Article
- Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues.Experimental biology and medicine (Maywood, N.J.) · 2022Review
- Particle Swarm Optimization-Based Extreme Learning Machine for COVID-19 Detection.Cognitive computation · 2022Article
- A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID-19 based on acoustic cough features.International journal of imaging systems and technology · 2022Article
- Extraction of low-dimensional features for single-channel common lung sound classification.Medical & biological engineering & computing · 2022Article
- QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds.Diagnostics (Basel, Switzerland) · 2022Article
- Identifying COVID-19 by using spectral analysis of cough recordings: a distinctive classification study.Cognitive neurodynamics · 2022Article
- CR19: a framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications.Journal of ambient intelligence and humanized computing · 2022Article
- Prediction and Diagnosis of Respiratory Disease by Combining Convolutional Neural Network and Bi-directional Long Short-Term Memory Methods.Frontiers in public health · 2022Article
- AI Based Monitoring of Different Risk Levels in COVID-19 Context.Sensors (Basel, Switzerland) · 2021Article
- A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images.Applied soft computing · 2021Article
- COVID-19 cough classification using machine learning and global smartphone recordings.Computers in biology and medicine · 2021Article
- A Novel Method for COVID-19 Diagnosis Using Artificial Intelligence in Chest X-ray Images.Healthcare (Basel, Switzerland) · 2021Article
- Routine Hematological Parameters May Be Predictors of COVID-19 Severity.Frontiers in medicine · 2021Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Respiratory symptoms can be caused by different underlying conditions, and are often caused by viral infections, such as Influenza-like illnesses or other emerging viruses like the Coronavirus. These respiratory viruses, often, have common symptoms: coughing, high temperature, congested nose, and difficulty breathing. However, early diagnosis of the type of the virus, can be crucial, especially in cases, such as the COVID-19 pandemic. Among the factors that contributed to the spread of the COVID-19 pandemic were the late diagnosis or misinterpretation of COVID-19 symptoms as regular flu-like symptoms. Research has shown that one of the possible differentiators of the underlying causes of different respiratory diseases could be the cough sound, which comes in different types and forms. A reliable lab-free tool for early and accurate diagnosis, which can differentiate between different respiratory diseases is therefore very much needed, particularly during the current pandemic. This concept paper discusses a medical hypothesis of an end-to-end portable system that can record data from patients with symptoms, including coughs (voluntary or involuntary) and translate them into health data for diagnosis, and with the aid of machine learning, classify them into different respiratory illnesses, including COVID-19. With the ongoing efforts to stop the spread of the COVID-19 disease everywhere today, and against similar diseases in the future, our proposed low cost and user-friendly theoretical solution could play an important part in the early diagnosis.
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