Yinghua (Kelly) Shen
MIT EECS Undergraduate Research and Innovation Scholar
Crowdsourcing ECG Signal Annotation Tool
Electrical Engineering and Computer Science
Computational diagnostic aids for biomedical instrumentation data
While medical records have all been digitalized nowadays the amount of patient data that can be usefully processed and analyzed using available software tools is greatly limited. This is often caused by a lack of techniques to determine indicators and trends in the data and inadequate understanding of the domains that concern physicians most. However such data contains useful clues that could help doctors make better informed decisions and improving medical care for patients. Therefore I would like to develop new computational diagnostic aids for medical data.
I am a senior in 6-3 and I will be developing computational diagnostic aids for biomedical instrumentation data in my SuperUROP project. This project sparks my interest because I am passionate about data engineering and exploring new ways to make use of poorly-utilized data.