Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Combining Breast Cancer Risk Prediction Models

8 Feb 2023

Abstract excerpt

Accurate risk stratification is key to reducing cancer morbidity through targeted screening and preventative interventions. Multiple breast cancer risk prediction models are used in clinical practice, and often provide a range of different predictions for the same patient. Integrating information from different models may improve the accuracy of predictions, which would be valuable for both clinicians and...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to BRCA gene mutations in cancer
Share to Cancer Genomics and Diagnostics
Share to Global Cancer Incidence and Screening

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36831433
DOI: 10.3390/cancers15041090

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Combining Breast Cancer Risk Prediction ModelsPMID 36831433Read ↗

Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications.Semantic proximity Read ↗

Assessment of clinical validity of a breast cancer risk model combining genetic and clinical information.Semantic proximity Read ↗

Predicting breast cancer risk using interacting genetic and demographic factors and machine learning.Semantic proximity Read ↗

A combined risk model shows viability for personalized breast cancer risk assessment in the Indonesian populationSemantic proximity Read ↗

Understanding mathematical models for breast cancer risk assessment and counseling.Semantic proximity Read ↗

Early breast cancer risk detection: a novel framework leveraging polygenic risk scores and machine learning.Semantic proximity Read ↗

Risk prediction models for familial breast cancer.Semantic proximity Read ↗

Overlap of high-risk individuals predicted by family history, and genetic and non-genetic breast cancer risk prediction models: implications for risk stratification.Semantic proximity Read ↗

Assessing women at high risk of breast cancer: a review of risk assessment models.Semantic proximity Read ↗

Breast cancer risk stratification using genetic and non-genetic risk assessment tools for 246,142 women in the UK Biobank.Semantic proximity Read ↗

Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry.Semantic proximity Read ↗

Breast Cancer Risk Stratification in Black Women: Current Status and Potential Solutions to Improve Accuracy.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.