Area of research
Molecular Biology · Artificial Intelligence
Research interest
Research focused on Kidney disease and Metabolic syndrome, with related work in Natural language processing, Ontology, Data science. Notable publications include 'The 2019 n2c2/UMass Lowell shared task on clinical concept normalization', 'HPO2Vec+: Leveraging heterogeneous knowledge resources to enrich node embeddings for the Human Phenotype Ontology', and 'Detecting Lifestyle Risk Factors for Chronic Kidney Disease With Comorbidities: Association Rule Mining Analysis of Web-Based Survey Data'.
The 2019 n2c2/UMass Lowell shared task on clinical concept normalization
HPO2Vec+: Leveraging heterogeneous knowledge resources to enrich node embeddings for the Human Phenotype Ontology
Detecting Lifestyle Risk Factors for Chronic Kidney Disease With Comorbidities: Association Rule Mining Analysis of Web-Based Survey Data
Leveraging Association Rule Mining to Detect Pathophysiological Mechanisms of Chronic Kidney Disease Complicated by Metabolic Syndrome
Recommending Education Materials for Diabetic Questions Using Information Retrieval Approaches