Predicting 30-day risk from benzodiazepine/Z-drug dispensations in older adults using administrative data: A prognostic machine learning approach-Reference-Cited by-同舟云学术

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Predicting 30-day risk from benzodiazepine/Z-drug dispensations in older adults using administrative data: A prognostic machine learning approach

Published:2023-10 Issue: Volume:178 Page:105177
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Sharma Vishal^ORCID,Joon Tanya,Kulkarni Vinaykumar,Samanani Salim,Simpson Scot H.^ORCID,Voaklander Don,Eurich Dean

Funder

Mitacs

Publisher

Elsevier BV

Subject

Health Informatics

Reference67 articles.

1. Alberta Health. Alberta Health Services performance review : summary report. 2020; https://open.alberta.ca/publications/alberta-health-services-performance-review-summary-report#summary.

2. Canadian clinical practice guidelines for the management of anxiety, posttraumatic stress and obsessive-compulsive disorders;Katzman;BMC Psychiatry,2014

3. Pottie K, Thompson W, Davies S, et al. Deprescribing benzodiazepine receptor agonists. 2018.

4. Canadian Pharmacists Association. RxTx. 2019; https://www.e-therapeutics.ca/search.

5. CPSA. Clinical Toolkit Benzodiazepines: Use and Taper. CPSA. 2015.

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