Machine learning for automated classification of abnormal lung sounds obtained from public databases: a systematic review
Pulmonary auscultation is essential for detecting abnormal lung sounds during physical
assessments, but its reliability depends on the operator. Machine learning (ML) models offer …
assessments, but its reliability depends on the operator. Machine learning (ML) models offer …
A comparison of SVM and GMM-based classifier configurations for diagnostic classification of pulmonary sounds
Goal: The aim of this study is to find a useful methodology to classify multiple distinct
pulmonary conditions including the healthy condition and various pathological types, using …
pulmonary conditions including the healthy condition and various pathological types, using …
Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and …
Background Interstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and
non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease …
non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease …
Differential diagnosis of asthma and COPD based on multivariate pulmonary sounds analysis
Objective: Asthma and chronic obstructive pulmonary disease (COPD) can be confused in
clinical diagnosis due to overlapping symptoms. The purpose of this study is to develop a …
clinical diagnosis due to overlapping symptoms. The purpose of this study is to develop a …
The Relevance of Auscultation Site in Healthy versus Restrictive Pulmonary Disease Classification
The aim of this study was to perform a quantitative analysis to assess the relevance of the
auscultation site on the chest wall in classifying restrictive lung diseases versus the healthy …
auscultation site on the chest wall in classifying restrictive lung diseases versus the healthy …
Differential Diagnosis of Respiratory Pathologies: a Data-Driven Approach based on Respiratory Sounds
DFS Bastos - 2021 - estudogeral.uc.pt
Respiratory diseases are one of the main causes of death in the world, causing a series of
economical and social problems. Trying to counter that, new and better diagnosing and …
economical and social problems. Trying to counter that, new and better diagnosing and …
Respiratory sound classification using perceptual linear prediction features for healthy-pathological diagnosis
This study proposes a new model and feature extraction method for the classification of multi-
channel respiratory sound data with the final aim of building a diagnosis aid tool for the …
channel respiratory sound data with the final aim of building a diagnosis aid tool for the …
Improving bridging from informatics theory to practice
Background: In 1962, Methods of Information in Medicine (MIM) began to publish papers on
the methodology and scientific fundamentals of managing data, information, and knowledge …
the methodology and scientific fundamentals of managing data, information, and knowledge …
Time-frequency and time-scale analysis, decomposition and classification of adventitious pulmonary sounds
S Ulukaya - 2017 - acikbilim.yok.gov.tr
Pulmonary diseases affect the quality of life and disturb the patients throughout their life.
Due to some disadvantages of auscultation with a traditional stethoscope, computerized …
Due to some disadvantages of auscultation with a traditional stethoscope, computerized …
[PDF][PDF] Solunum Seslerinin Sa § l kl-Hastal kl Tan s Amac yla Alg sal Do § rusal Öngörü Öznitelikleri Kullan larak S n and r lmas Respiratory Sound Classification Using …
This study proposes a new model and feature extraction method for the classification of multi-
channel respiratory sound data with the final aim of building a diagnosis aid tool for the …
channel respiratory sound data with the final aim of building a diagnosis aid tool for the …