Last Posted: May 23, 2019
- Machine-learned analysis of the association of next-generation sequencing based genotypes with persistent pain after breast cancer surgery.
Kringel Dario et al. Pain 2019 May
- Predicting breast cancer metastasis by using serum biomarkers and clinicopathological data with machine learning technologies.
Tseng Yi-Ju et al. International journal of medical informatics 2019 May
- Breast Cancer Risk Prediction Models: Challenges in Clinical Application.
Paquin Melissa et al. Clinical journal of oncology nursing 2019 Jun 23(3) 256-259
- Virtual reality as a distraction technique for pain and anxiety among patients with breast cancer: A randomized control trial.
Bani Mohammad Eslam et al. Palliative & supportive care 2019 17(1) 29-34
- Insights Into Breast Cancer in the East vs the West: A Review.
Yap Yoon-Sim et al. JAMA oncology 2019 May
- Will Machine Learning Tip the Balance in Breast Cancer Screening?
Trister Andrew D et al. JAMA oncology 2017 3(11) 1463-1464
- Accuracy in risk understanding among BRCA1/2-mutation carriers.
Speiser Dorothee et al. Patient education and counseling 2019 May
- Effectiveness of interventions to identify and manage patients with familial cancer risk in primary care: a systematic review.
Lee Siang Ing et al. Journal of community genetics 2019 May
- Implementing a Population-Based Breast Cancer Risk Assessment Program.
Silver Erica et al. Clinical breast cancer 2019 Mar
- The Impact of Genetic Counseling Educational Tools on Patients' Knowledge of Molecular Testing Terminology.
McDaniels Brianna A et al. Journal of cancer education : the official journal of the American Association for Cancer Education 2019 May
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Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Mar 1, 2018
- Page last updated:May 23, 2019
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