Code repository for the paper “Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series”

RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds (IEEE TIM-2024)

(Ongoing Project) Uses CDC data to map the burden of Chronic Obstructive Pulmonary Disorder (COPD) and uses machine learning to determine health factors that may be related to likelihood of its development..

VGAResNet: A Unified Visibility Graph Adjacency Matrix-Based Residual Network for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds

The COPD doctor is a machine learning pipeline that detects whether a patient has gotten COPD by analyzing the input textual descriptions from the patient.

MDPD - Microbiome Database of Pulmonary Diseases

Lung image analysis pipeline for topological PRM maps

Image Registration on Chest CT Volumes

Registration of image sets and reference data of inspiratory and expiatory breath-hold CT image pairs acquired from the National Heart Lung Blood Institute COPDgene study archive. This project was developed for a course titled "Medical Image Registration and Applications" - MIRA under MAIA master program.

R package for COPD DOSE index score

Mobile app for insights in the user data and uploading the data to the cloud

Pulmo-TS2ONN: A Novel Triple Scale Self Operational Neural Network for Pulmonary Disorder Detection Using Respiratory Sounds (IEEE TIM-2024)

R package for COPD ADO index score

"COPD Help" / "Ayuda EPOC" Android App

R package for COPD CODEX index score

AWS related configuration and code

R code for the data management and statistical analysis performed for the project Phenotyping Patients with COPD and Heart Failure: Data from the Swedish Heart Failure Registry

Machine learning approaches to classify stable and exacerbation stages of COPD

A Novel Multi-Head Self-Organized Operational Neural Network Architecture for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds (IEEE TASLP-2024)

EHR-based observational survival analysis of ICU patients with COPD using the MIMIC-IV database. This project evaluates the association between early RAAS inhibitor exposure and in-hospital mortality using time-to-event methods.