Tyler S. Williamson

According to our database, Tyler S. Williamson authored at least 8 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Federated Diabetes Prediction in Canadian Adults Using Real-world Cross-Province Primary Care Data.

Guojun Tang, Jason E. Black, Tyler S. Williamson, Steve H. Drew

CoRR, 2024

2023

Correction: Development and validation of a case definition for problematic menopause in primary care electronic medical records.

Anh N. Q. Pham, Michael Cummings, Nese Yuksel, Beate Sydora, Tyler S. Williamson, Stephanie Garies, Russell Pilling, Cliff Lindeman, Sue Ross

BMC Medical Informatics Decis. Mak., December, 2023

Development and validation of a case definition for problematic menopause in primary care electronic medical records.

Anh N. Q. Pham, Michael Cummings, Nese Yuksel, Beate Sydora, Tyler S. Williamson, Stephanie Garies, Russell Pilling, Cliff Lindeman, Sue Ross

BMC Medical Informatics Decis. Mak., December, 2023

2020

Methods to improve the quality of smoking records in a primary care EMR database: exploring multiple imputation and pattern-matching algorithms.

Stephanie Garies, Michael Cummings, Hude Quan, Kerry A. McBrien, Neil Drummond, Donna Manca, Tyler S. Williamson

BMC Medical Informatics Decis. Mak., 2020

2018

Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data.

Mingkai Peng, Vijaya Sundararajan, Tyler S. Williamson, Evan P. Minty, Tony C. Smith, Chelsea T. A. Doktorchik, Hude Quan

J. Biomed. Informatics, 2018

Identification of validated case definitions for medical conditions used in primary care electronic medical record databases: a systematic review.

Kerry A. McBrien, Sepideh Souri, Nicola E. Symonds, Azin Rouhi, Brendan C. Lethebe, Tyler S. Williamson, Stephanie Garies, Richard Birtwhistle, Hude Quan, Gabriel E. Fabreau, Paul E. Ronksley

J. Am. Medical Informatics Assoc., 2018

2017

Under-coding of secondary conditions in coded hospital health data: Impact of co-existing conditions, death status and number of codes in a record.

Mingkai Peng, Danielle A. Southern, Tyler S. Williamson, Hude Quan

Health Informatics J., 2017

2016

Utility of linking primary care electronic medical records with Canadian census data to study the determinants of chronic disease: an example based on socioeconomic status and obesity.

Suzanne Biro, Tyler S. Williamson, Jannet Ann Leggett, David Barber, Rachael Morkem, Kieran Moore, Paul Belanger, Brian Mosley, Ian Janssen

BMC Medical Informatics Decis. Mak., 2016