Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own-Reference-Cited by-同舟云学术

Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own

Published:2024-01 Issue: Volume:149 Page:104568
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Bradshaw Richard L.^ORCID,Kawamoto Kensaku^ORCID,Bather Jemar R.^ORCID,Goodman Melody S.^ORCID,Kohlmann Wendy K.,Chavez-Yenter Daniel^ORCID,Volkmar Molly,Monahan Rachel,Kaphingst Kimberly A.,Del Fiol Guilherme

Funder

National Institutes of Health

National Cancer Institute

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference24 articles.

1. Health data poverty: an assailable barrier to equitable digital health care;Ibrahim;Lancet Digit Health.,2021

2. Advocating for equitable management of hereditary cancer syndromes;Caffrey;J Genet Couns.,2022

3. Risk assessment, genetic counseling, and genetic testing for BRCA-related cancer: US preventive services task force recommendation statement;Force;JAMA,2019

4. Colorectal cancer screening: Recommendations for physicians and patients from the U.S. multi-society task force on colorectal cancer;Rex;Gastroenterology,2017

5. Scheuner MT, McNeel TS, Freedman AN. Population prevalence of familial cancer and common hereditary cancer syndromes. The 2005 California Health Interview Survey. Genetics in medicine : official journal of the American College of Medical Genetics. Nov 2010;12(11):726-310.1097/GIM.0b013e3181f30e9e.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fairness and inclusion methods for biomedical informatics research;Journal of Biomedical Informatics;2024-08