Article

Early prediction of ovarian cancer risk based on real world data

2024-07-27

Abstract excerpt

This study presents the development of an early prediction model for high-grade serous ovarian cancer (HGSOC) using real-world data from the Andalusian Health Population Database (BPS), containing electronic health records (EHR) of over 15 million patients. Leveraging the extensive data availability, the model aims to identify individuals at high risk of HGSOC without the need for specific tumor markers or prior s...

Topics

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

Identifiers and source

Literature Corpus work: e961d179-cc54-5078-b63c-c4f9577ada60
DOI: 10.1101/2024.07.26.24310994

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Early prediction of ovarian cancer risk based on real world dataDOI 10.1101/2024.07.26.24310994Read

Clinical utility of EHR-based predictive models for identifying high-risk individuals in early cancer detectionSemantic proximity Read

Ovarian cancer risk prediction: a clinical epidemiology perspective.Semantic proximity Read

Unified Predictive Model for Endometriosis: Merging Clinical, Self-reporting and Genetic InformationSemantic proximity Read

Machine Learning analysis of high-grade serous ovarian cancer proteomic dataset reveals novel candidate biomarkers.Semantic proximity Read

Comparative Analysis of Predictive Models for Individual Cancer Risk: Approaches and ApplicationsSemantic proximity Read

Simple Linear Cancer Risk Prediction Models with Novel Features Outperform Complex ApproachesSemantic proximity Read

Decision tree model to predict ovarian tumor malignancy based on clinical markers and preoperative circulating blood cellsSemantic proximity Read

Early and accurate detection of ovarian cancer by profiling cell-free mitochondrial DNA fragmentomics in multi-ethnic populationSemantic proximity Read

Early Detection of Ovarian Cancer Using Cell-Free DNA Fragmentomes and Protein BiomarkersSemantic proximity Read

Molecular characteristics of early- and late-onset ovarian cancer: insights from multidimensional evidenceSemantic proximity Read

Phenome-Wide Association Study of Pre-Cancer Diagnosis Electronic Health Records Identifies Risk and Inverse Associations in the All of Us Research ProgramSemantic proximity Read

Risk Prediction for Epithelial Ovarian Cancer in 11 United States-Based Case-Control Studies: Incorporation of Epidemiologic Risk Factors and 17 Confirmed Genetic Loci.Semantic proximity Read