Developing Data Strategies to Enable Healthcare Machine Learning

The project “Developing Data Strategies to Enable Healthcare Machine Learning” aims to develop effective strategies to collect, curate, and maintain data in healthcare. A data strategy which enables Artificial Intelligence (AI)/Machine Learning (ML) models plays a pivotal role in building response healthcare solutions. The project is focused on understanding the fairness aspects of care quality at Grand River Hospital in the K-W region. To bring the AI revolution to healthcare systems, it is necessary to accomplish the critical task of understanding state of data collection and establish solid data foundations. The primary goal in the project will be to address this foundational need, which can impact the success of efforts beyond this project. The project will develop and build innovative solutions to strategically foster and stimulate the future advances at the hospital and the University of Waterloo to build healthcare systems for the digital age.

Faculty Supervisor:

Sirisha Rambhatla

Student:

Partner:

National Technical University of Ukraine

Discipline:

Computer science

Sector:

Artificial Intelligence; Information and Communications Technology; Health and Related Sciences & Technology

University:

University of Waterloo

Program:

Globalink Research Award

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