Portfolio
Ontology-based Scientific Metadata Generation
Project Summary Background Public biomedical data repositories often provide web-based interfaces to collect experimental metadata. …
Reporting and connecting cell type names and gating definitions through ontologies
Project Summary Background Human immunology studies often rely on the isolation and quantification of cell …
How Representative Is a SPARQL Benchmark? An Analysis of RDF Triplestore Benchmarks
Project Summary Triplestores are data management systems for storing and querying RDF data. Over recent …
Formal representation of immunology related data with ontologies
Project Summary The Human Immunology Project Consortium (HIPC) is a multicenter collaboration between research centers …
A linked data graph approach to integration of immunological data
Project Summary Systems biology involves the integration of multiple data types (across different data sources) …
The ADC API: a web API for the programmatic query of the AIRR Data Commons
Project Summary The Adaptive Immune Receptor Repertoire (AIRR) Community is a research-driven group that is …
Predicting 30-days All-cause Hospital Readmissions Considering Discharge-to-alternate-care-facilities
Project Summary Hospital discharge is a decision based on several data points including diagnostic, physiological, …
LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine
Project Summary Hepatocellular carcinoma (HCC) is a common type of liver cancer worldwide. Patients with …
Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
Project Summary Manual identification of brain tumors is an error-prone and tedious process for radiologists; …
Statistically rigorous deep neural network approach to predict mortality in trauma patients admitted to the intensive care unit
Project Summary BACKGROUND Trauma patients admitted to critical care are at high risk of mortality …
Classification of positive COVID-19 CT scans using deep learning
Project Summary In medical imaging, computer vision researchers are faced with a variety of features …
A Deep Learning Approach for COVID-19 8 Viral Pneumonia Screening with X-ray Images
Project Summary Beginning in December 2019, the spread of the novel Coronavirus (COVID-19) has exposed …
Predicting 30-days All-cause Hospital Readmissions Considering Discharge-to-alternate-care-facilities
Project Summary Hospital discharge is a decision based on several data points including diagnostic, physiological, …
LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine
Project Summary Hepatocellular carcinoma (HCC) is a common type of liver cancer worldwide. Patients with …
Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
Project Summary Manual identification of brain tumors is an error-prone and tedious process for radiologists; …
Statistically rigorous deep neural network approach to predict mortality in trauma patients admitted to the intensive care unit
Project Summary BACKGROUND Trauma patients admitted to critical care are at high risk of mortality …
Classification of positive COVID-19 CT scans using deep learning
Project Summary In medical imaging, computer vision researchers are faced with a variety of features …
A Deep Learning Approach for COVID-19 8 Viral Pneumonia Screening with X-ray Images
Project Summary Beginning in December 2019, the spread of the novel Coronavirus (COVID-19) has exposed …