Yulric Sequeira
Biographic Data
| ID | 5408460 |
|---|---|
| NAME | Yulric Sequeira |
| GIVEN NAMES | Yulric |
| FAMILY NAME | Sequeira |
| SIGNATURE | SEQUEIRA Y |
| AFFILIATIONS | Ottawa Hospital Research Institute |
| ORCID | 0000-0001-7456-6427 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Development and validation of a predictive algorithm for risk of dementia in the community setting
BACKGROUND: Most dementia algorithms are unsuitable for population-level assessment and planning as they are designed for use in the clinical setting. A predictive risk algorithm to estimate 5-year dementia risk in the community setting was developed. METHODS: The Dementia Population Risk Tool (DemPoRT) was derived using Ontario respondents to the Canadian Community Health Survey (survey years 2001 to 2012). Five-year incidence of physician-diagn…
Cchsflow: An open science approach to transform and combine population health surveys
The cchsflow package has been added to the Comprehensive R Archive Network (CRAN) and contains support for over 160 CCHS variables, generating a combined data set of over 1 million respondents. By implementing open science practices, cchsflow aims to minimize the amount of time needed to clean and prepare data for the many CCHS users across Canada
No prominent works on this page.
Development and validation of a predictive algorithm for risk of dementia in the community setting
BACKGROUND: Most dementia algorithms are unsuitable for population-level assessment and planning as they are designed for use in the clinical setting. A predictive risk algorithm to estimate 5-year dementia risk in the community setting was developed. METHODS: The Dementia Population Risk Tool (DemPoRT) was derived using Ontario respondents to the Canadian Community Health Survey (survey years 2001 to 2012). Five-year incidence of physician-diagn…
Cchsflow: An open science approach to transform and combine population health surveys
The cchsflow package has been added to the Comprehensive R Archive Network (CRAN) and contains support for over 160 CCHS variables, generating a combined data set of over 1 million respondents. By implementing open science practices, cchsflow aims to minimize the amount of time needed to clean and prepare data for the many CCHS users across Canada
Environmental health (2 works) · Medicine (2 works) · Population (2 works) · Statistics (2 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Cohort (1 works) · Community health (1 works) · Computer Science (1 works) · Cumulative incidence (1 works)