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Understanding the Course of Disease via Registration on Electronic Health Records Data
Timeline
2022
Description
A team of students led by Professor Anru Zhang (Duke Biostatistics & Bioinformatics, Computer Science, Mathematics, and Statistical Science) will develop methods to investigate the courses of complex diseases through electronic health records. The team will apply tensor methods to identify key features to register the patient's timeline. This work will provide a basis for researchers at Duke and elsewhere to sufficiently utilize the high-dimensional and longitudinal information in the electronic health record data. If time permitted, the related methods and theory will also be studied.
Project Lead: Anru Zhang
Project Manager: Rungang Han
View the team's final poster
Watch the team's final presentation below:
Categories
Data+, Health Systems Operations