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Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study

Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study

One study [11] standardized 6277 nursing statements data using Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) and converted them into the OMOP CDM to develop a fall-prediction model along with other CDM data. SNOMED CT is the most comprehensive multilingual clinical terminology [12,13] used by more than 40 countries and 30,000 individuals or organizations.

Sumi Sung, Youlim Kim, Su Hwan Kim, Hyesil Jung

J Med Internet Res 2024;26:e53343

Exploring Online Crowdfunding for Cancer-Related Costs Among LGBTQ+ (Lesbian, Gay, Bisexual, Transgender, Queer, Plus) Cancer Survivors: Integration of Community-Engaged and Technology-Based Methodologies

Exploring Online Crowdfunding for Cancer-Related Costs Among LGBTQ+ (Lesbian, Gay, Bisexual, Transgender, Queer, Plus) Cancer Survivors: Integration of Community-Engaged and Technology-Based Methodologies

The SAB then provided feedback by adding and removing terms from each term list, focusing primarily on the LGBTQ+ term list. The term lists were then applied to the first small-batch scrape of 100,000 campaigns. The campaigns were filtered down to LGBTQ+ cancer campaigns as identified by the term lists.

Austin R Waters, Cindy Turner, Caleb W Easterly, Ida Tovar, Megan Mulvaney, Matt Poquadeck, Hailey Johnston, Lauren V Ghazal, Stephen A Rains, Kristin G Cloyes, Anne C Kirchhoff, Echo L Warner

JMIR Cancer 2023;9:e51605