Area of research
Molecular Biology · Health Information Management
Research interest
Research interests include Biomedical Text Mining and Ontologies, Electronic Health Records Systems, Nursing Diagnosis and Documentation, and Semantic Web and Ontologies.
Evaluating the impact of explainable AI on clinicians’ decision-making: A study on ICU length of stay prediction
Patient Perspectives About Decisions to Share Medical Data and Biospecimens for Research
Blockchain distributed ledger technologies for biomedical and health care applications
Deep mining heterogeneous networks of biomedical linked data to predict novel drug–target associations
Finding useful data across multiple biomedical data repositories using DataMed
Integrated precision medicine: the role of electronic health records in delivering personalized treatment
DATS, the data tag suite to enable discoverability of datasets
DataMed – an open source discovery index for finding biomedical datasets
iCONCUR: informed consent for clinical data and bio-sample use for research