Christina Khnaisser

Research

Aging Anatomical Therapeutic Chemical Classification System Biostatistics Chronic Conditions Natural Health Products Natural Language Processing Ontology Pharmacoepidemiology

Latest papers

Building ontology-based temporal databases for data reuse: An applied example on hospital organizational structures.
Health informatics journal · 2024 · first author
Using an Ontology to Derive a Sharable and Interoperable Relational Data Model for Heterogeneous Healthcare Data and Various Applications.
Methods of information in medicine · 2022 · first author

All 2 publications

Latest funding

Can we classify natural health products and evaluate their impacts on health? A CLSA study using machine learning.
CIHR · 2025 · Principal investigator
$69,848

All 1 grants and awards

2 publications.

01

Building ontology-based temporal databases for data reuse: An applied example on hospital organizational structures.

Khnaisser C, Looten V, Lavoie L, Burgun A, Ethier JF

Health informatics journal2024First author

DOI: 10.1177/14604582241259336 PMID: 38848696

02

Using an Ontology to Derive a Sharable and Interoperable Relational Data Model for Heterogeneous Healthcare Data and Various Applications.

Khnaisser C, Lavoie L, Fraikin B, Barton A, Dussault S, Burgun A, Ethier JF

Methods of information in medicine2022First author

DOI: 10.1055/a-1877-9498 PMID: 35709746

Can we classify natural health products and evaluate their impacts on health? A CLSA study using machine learning.

Principal investigatorCIHR2025Catalyst Grant: Analysis of CLSA Data - IA Early Career Researchers

Principal investigators: Chiu, Yohann M; Cossette, Benoît; Khnaisser, Christina

Keywords: Aging; Anatomical Therapeutic Chemical Classification System; Biostatistics; Chronic Conditions; Natural Health Products; Natural Language Processing; Ontology; Pharmacoepidemiology

$69,848

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Paper to mentionMention their CIHR grant from 2025

Subject: Prospective PhD student: Aging Dear Professor Khnaisser, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Building ontology-based temporal databases for data reuse: An applied example on hospital organizational structures." (2024), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your CIHR-funded project "Can we classify natural health products and evaluate their impacts on health? A CLSA study using machine learning." (2025), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]