Back to search

Article

Development and validation of novel machine learning-based prognostic models and propensity score matching for comparison of surgical approaches in mucinous breast cancer: a multicenter study

2024-10-21

Abstract excerpt

<title>Abstract</title> <p><bold>Background</bold> Mucinous breast cancer (MBC) is a rare subtype of breast cancer with specific clinicopathologic and molecular features. Despite MBC patients generally having a favorable survival prognosis, there is a notable absence of clinically accurate predictive models. <bold>Methods</bold> 7553 patients diagnosed with MBC from the SEER database spanning 2010 to 2020 were in...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
6173b307-66b4-56ec-9c83-80adf4b604fc
DOI
10.21203/rs.3.rs-4996937/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Development and validation of novel machine learning-based prognostic models and propensity score matching for comparison of surgical approaches in mucinous breast cancer: a multicenter studyDOI 10.21203/rs.3.rs-4996937/v1
Prognostic Nomogram and Risk Stratification System for Breast Cancer Bone Metastasis: A SEER-Based Population StudySemantic proximity
Nomogram for Predicting Preoperative Regional Lymph Nodes Metastasis in Patients with Metaplastic Breast Cancer: A SEER Population-Based StudySemantic proximity
Adjuvant Chemotherapy Guidance for pT1-3N0-1 Breast Cancer Patients with HR+, HER2- subtype: a study based on SEER databaseSemantic proximity
Epigenetic profile drives accurate survival prediction in breast cancer via a multi-omics machine learning modelSemantic proximity
Epigenetic profile drives accurate survival prediction in breast cancer via a multi-omics machine learning modelSemantic proximity
Prognostic modeling of glycosylation in TNBC and screening of related key genes through a comprehensive analysis of multi-omics studiesSemantic proximity
Development of a new clinical nomogram to predict bone metastasis in luminal A breast cancer patients: A SEER-based studySemantic proximity
Machine learning to construct an mRPS risk prognostic model for directing immunotherapy in patients with breast cancer based on the mCAF signature genesSemantic proximity
Risk factors, prognostic factors, and nomograms for distant metastasis in patients with triple-negative breast cancer: a population-based studySemantic proximity
Machine learning enables accurate prediction of breast cancer five-year survival using somatic genomic variantsSemantic proximity
Prognostic nomograms for hormone receptor-positive breast cancer with lung metastasis: a SEER-based study with external validationSemantic proximity
Improving the prognostic prediction accuracy on breast cancer patients through comprehensive machine survival modelsSemantic proximity
Select a neighboring publication to make it the new centre.