Division of Biomedical Informatics, UC San Diego

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My main interest is building real-life biomedical text applications for better healthcare. I am a key contributor to widely recognized systems such as BioCaster in public health surveillance and MedEx in clinical informatics. Currently, I am the key contributor, leading a technical team to build PhenDisco, a new phenotype information retrieval system for NCBI's database of genotypes and phenotypes (dbGaP). My background are natural language processing (NLP) and machine learning. I obtained PhD degree from Japan Advanced Institute of Science and Technology (JAIST), Japan in 2005 in computer science. I joined Division of Biomedical Informatics at University of California San Diego since ..

flu tracking dbgap phenotype standadization twitter biosurveillance nlp natural language processing geospatial wikipedia ontology

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Division of Biomedical Informatics, UC San Diego

Presentaciones

Medicine2.0'12: A Study of Positive and Negative Affects in Tracking Influenza-like Illness Rate in Twitter Data

Enhancing Twitter Data Analysis with Simple Semantic Filtering: Example in Tracking Influenza-Like Illnesses

PhenDisco: Phenotype Discovery System for the Database of Genotypes and Phenotypes (dbGaP)

Using Twitter Data to Predict Flu Outbreak

A Rule-Based NLP System in Tagging and Categorizing Phenotype Variables in dbGaP

Documentos

Building and Using Geospatial Ontology in the BioCaster Surveillance System

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The Ontology for General Medical Science