多伦多大学招收护理学博士
About the Project
At the University of Toronto Bloomberg Faculty of Nursing, we thrive on the challenge to create better outcomes in health care — locally, nationally and across the globe. With close to a century of achievement, our graduates have earned reputations as prominent thinkers, research pioneers and relentless innovators. We push ourselves to perform at the height of nursing education, research and practice, led by the brightest minds in nursing. Our faculty members mentor our students to excel, to make an impact and to lead where others can only follow.
Research Area
It is not well understood how older Canadians of different ages, sexes, and socioeconomic classes experience active aging at home. OAs are often excluded from technology design, despite making up a large portion of the population. Sensor systems have the potential to enable insights about active aging and support aging at home; however, more development to enhance system capabilities to process and analyze sensor data in real-time, as well as increasing the useability and adoption of the sensor system by OAs is required. The objective of this research is to develop, and advance the integration of, sensor technology relevant to OAs living in the community. The research team will focus on the following short-term objective over the five-year DG program:
1. Co-design a multi-model system and mobile app that can collect sensor data and feedback from a diverse group of OAs (e.g., age, sex, gender, socioeconomic status), which will then be verified and evaluated at its early developmental stage;
2. Contribute to Develop machine learning models to analyze the sensor system data and accurately predict active aging related outcomes to gain insights into how variables related to active aging such as age, sex, gender, and socioeconomic status, differentiate the predictions;
Eligibility
Background in Nursing
Strong interest in aging in place, technology for older adults, digital health and informatics
Research experience
Demonstrated publication record
Human research experience
Track record of publications
Applicants who have obtained funding will be prioritized.
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