Explainable machine learning methods and respiratory oscillometry for the diagnosis of respiratory abnormalities in sarcoidosis

Artificial Intelligence for the Future Radiology Diagnostic Service

(2021) Seong K. Mun et al.   Frontiers in Molecular Biosciences

Machine learning associated with respiratory oscillometry: a computer-aided diagnosis system for the detection of respiratory abnormalities in systemic sclerosis

(2021) Domingos S. M. Andrade et al.   Biomedical Engineering Online

Differential diagnosis of asthma and restrictive respiratory diseases by combining forced oscillation measurements, machine learning and neuro-fuzzy classifiers

(2020) Jorge L. M. Amaral et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Evaluation of ECG Features for the Classification of Post-Stroke Survivors with a Diagnostic Approach

(2020) Kalaivani Rathakrishnan et al.   Applied Sciences-Basel

Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests

(2019) Marko Topalovic et al.   EUROPEAN RESPIRATORY JOURNAL

Association of respiratory integer and fractional-order models with structural abnormalities in silicosis

(2019) Alvaro C.D. Faria et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Sarcoidosis

(2019) Johan Grunewald et al.   Nature Reviews Disease Primers

Technical Standards for Respiratory Oscillometry

(2019) Gregory G. King et al.   EUROPEAN RESPIRATORY JOURNAL

Pulmonary sarcoidosis

(2018) Paolo Spagnolo et al.   Lancet Respiratory Medicine

Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)

(2018) Amina Adadi et al.   IEEE Access

Forced oscillation technique for early detection of the effects of smoking and COPD: contribution of fractional-order modeling

(2018) Caroline O Ribeiro et al.   International Journal of Chronic Obstructive Pulmonary Disease

Development of machine learning models for diagnosis of glaucoma

(2017) Seong Jae Kim et al.   PLoS One

Forced oscillation, integer and fractional-order modeling in asthma

(2016) Alvaro C.D. Faria et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Diagnosis of Pulmonary Hypertension from Magnetic Resonance Imaging–Based Computational Models and Decision Tree Analysis

(2016) Angela Lungu et al.   Pulmonary Circulation

Forced oscillations and respiratory system modeling in adults with cystic fibrosis

(2015) Adma N Lima et al.   Biomedical Engineering Online

Machine learning algorithms and forced oscillation measurements to categorise the airway obstruction severity in chronic obstructive pulmonary disease

(2015) Jorge L.M. Amaral et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A Comparison of SVM and GMM-Based Classifier Configurations for Diagnostic Classification of Pulmonary Sounds

(2015) Ipek Sen et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

An improved method of early diagnosis of smoking-induced respiratory changes using machine learning algorithms

(2013) Jorge L.M. Amaral et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Machine learning algorithms and forced oscillation measurements applied to the automatic identification of chronic obstructive pulmonary disease

(2011) Jorge L.M. Amaral et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

(2011) Oscar Cordón   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Assessment of Respiratory Mechanics in Patients with Sarcoidosis Using Forced Oscillation: Correlations with Spirometric and Volumetric Measurements and Diagnostic Accuracy

(2009) Alvaro C.D. Faria et al.   RESPIRATION

Pattern Trees Induction: A New Machine Learning Method

(2008) Zhiheng Huang et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS