Understanding the Course of Disease via Registration on Electronic Health Records Data

Understanding the Course of Disease via Registration on Electronic Health Records Data

2022

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:

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