Assessing the computational reproducibility of Johnson et al. 2021 as part of STARS.
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Updated
Oct 11, 2024 - R
Assessing the computational reproducibility of Johnson et al. 2021 as part of STARS.
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
RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds
VGAResNet: A Unified Visibility Graph Adjacency Matrix-Based Residual Network for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds
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.
MDPD - Microbiome Database of Pulmonary Diseases
Lung image analysis pipeline for topological PRM maps
(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..
De novo discovery of traits co-occurring with chronic obstructive pulmonary disease.
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.
Image Registration on Chest CT Volumes
Colocalization analysis of Meconium Ileus Genome-Wide Association Study (GWAS) (Gong et al., 2019) signal around SLC26A9 with spirometry association analysis in the UK Biobank and Spirometa Consortium (Shrine et., 2019) around the same region to elucidate whether there is a shared genetic contribution to disease
Predicting Hospital Anxiety and Depression in Chronic Obstructive Pulmonary Disease Patients
Mobile app for insights in the user data and uploading the data to the cloud
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