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This line of research is to develop informatics approaches to extract phenotypic data (drug exposure and drug reponse) for pharmacogenomics research from EHRs.
It inovloves natural language processing, machine learning, and data mining technologies. Currently we are working on extracting medication information from clinical notes.
We are collaborating with clinical teams to investigate pharmacogenomics of multiple drugs including wafarin, irinotecan, and tacrolimus.
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| Cancer epidemologic studies |
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The specific aim of this study is to develop an automated informatics approach to extract both fine-grained
cancer findings and general clinical information from electronic medical records and use them to conduct
cancer related epidemiological studies.
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| Literature mining of nutrition studies |
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Nutrition plays an important role in disease prevention and
treatment. This project is to extract gene/nutrition/disease knowledge from
Pubmed articles, thus to facilitate personalized nutrition.
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