(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..
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Updated
Apr 3, 2023 - Jupyter Notebook
(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..
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.
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
Lung image analysis pipeline for topological PRM maps
Image Registration on Chest CT Volumes
MDPD - Microbiome Database of Pulmonary Diseases
Mobile app for insights in the user data and uploading the data to the cloud
Predicting Hospital Anxiety and Depression in Chronic Obstructive Pulmonary Disease Patients
De novo discovery of traits co-occurring with chronic obstructive pulmonary disease.
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
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.
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