Copertina

Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hashtarkhani, Soheil, Zhou, Yiwang, Kumsa, Fekede Asefa, White-Means, Shelley, Schwartz, David L, Shaban-Nejad, Arash
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Applications I.2.1
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States
di: Hashtarkhani, Soheil, et al.
Pubblicazione: (2025)

The association between neighborhood obesogenic factors and prostate cancer risk and mortality: the Southern Community Cohort Study
di: Kumsa, Fekede Asefa, et al.
Pubblicazione: (2024)

Cancer Diagnosis Categorization in Electronic Health Records Using Large Language Models and BioBERT: Model Performance Evaluation Study
di: Hashtarkhani, Soheil, et al.
Pubblicazione: (2025)

Enhancing Health Care Accessibility and Equity Through a Geoprocessing Toolbox for Spatial Accessibility Analysis: Development and Case Study
di: Hashtarkhani, Soheil, et al.
Pubblicazione: (2024)

Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review
di: Ghasemi, Amirehsan, et al.
Pubblicazione: (2024)

Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review
di: Amirehsan Ghasemi, et al.
Pubblicazione: (2024)

Analyzing Breast Cancer Survival Disparities by Race and Demographic Location: A Survival Analysis Approach
di: Farha, Ramisa, et al.
Pubblicazione: (2025)

Density Estimation from Aggregated Data with Integrated Auxiliary Information: Estimating Population Densities with Geospatial Data
di: Mühlbauer, Michael, et al.
Pubblicazione: (2025)

Data-Driven Assessment of the County-Level Breast Cancer Incidence in the United States: Impacts of Modifiable and Non-Modifiable Factors
di: Zhao, Tingting, et al.
Pubblicazione: (2024)

Analyzing Population-Level Trials as N-of-1 Trials: an Application to Gait
di: Zhou, Lin, et al.
Pubblicazione: (2022)

Analyzing Pension Fund Mortality with Gaussian Processes in a Sub Population Framework
di: de Melo, Eduardo F. L., et al.
Pubblicazione: (2025)

A Machine Learning Framework for Breast Cancer Treatment Classification Using a Novel Dataset
di: Hasan, Md Nahid, et al.
Pubblicazione: (2025)

A Bayesian Mixture Model Approach to Examining Neighborhood Social Determinants of Health Disparities in Endometrial Cancer Care in Massachusetts
di: Rodríguez, Carmen B., et al.
Pubblicazione: (2024)

Longitudinal Impact of Tobacco Use and Social Determinants on Respiratory Health Disparities Among Louisiana Medicaid Enrollees
di: Rahman, Yead, et al.
Pubblicazione: (2025)

Flexible Approach for Statistical Disclosure Control in Geospatial Data
di: Skøien, Jon Olav, et al.
Pubblicazione: (2024)

Multivariate Shared Frailty Cure-Rate models: a focus on Breast Cancer family history
di: Vinattieri, Maria Veronica, et al.
Pubblicazione: (2025)

Sample size and power determination for assessing overall SNP effects in joint modeling of longitudinal and time-to-event data
di: Bian, Yuan, et al.
Pubblicazione: (2026)

Can-SAVE: Deploying Low-Cost and Population-Scale Cancer Screening via Survival Analysis Variables and EHR
di: Philonenko, Petr, et al.
Pubblicazione: (2023)

Bias in Meta-Analytic Modeling of Surrogate Endpoints in Cancer Screening Trials
di: Long, James P., et al.
Pubblicazione: (2025)

Bayesian Hierarchical Model for Synthesizing Registry and Survey Data on Female Breast Cancer Prevalence
di: Wang, Qiao, et al.
Pubblicazione: (2024)

Mitigating Included- and Omitted-Variable Bias in Estimates of Disparate Impact
di: Jung, Jongbin, et al.
Pubblicazione: (2018)

Genomic Analysis Reveals Inbreeding in an Island Population of Alexander Archipelago Wolves
di: Katherine E. Zarn, et al.
Pubblicazione: (2025)

Evolution in Response to Management Increases Invasiveness Among Experimental Populations of Duckweed (Lemna minor)
di: Taylor A. Zallek, et al.
Pubblicazione: (2024)

A Rank-Based Information Fusion Framework for Comparing Clustered Multivariate Socioeconomic Outcomes
di: Ghosh, Dhrubajyoti
Pubblicazione: (2026)

Navigating the Congestion Maze: Geospatial Analysis and Travel Behavior Insights for Dockless Bike-Sharing Systems in Xiamen
di: Zhang, Xuxilu, et al.
Pubblicazione: (2024)

Dispersal and Gene Flow Among Potential Spawners: Source–Sink Structure Among Populations of Anadromous Brown Trout Exposed to Multifaceted Anthropogenic Impacts
di: K. L. Hawley, et al.
Pubblicazione: (2025)

Cost-Effectiveness Analysis for Disease Prevention -- A Case Study on Colorectal Cancer Screening
di: Xiong, Yi, et al.
Pubblicazione: (2024)

Beyond Conventional Approaches: The Revolutionary Role of Nanoparticles in Breast Cancer
di: Mohan Liu, et al.
Pubblicazione: (2025)

Exploring the Interplay of Adiposity, Ethnicity, and Hormone Receptor Profiles in Breast Cancer Subtypes
di: Valdez, Izabel, et al.
Pubblicazione: (2025)

Socioeconomic Drivers of Physical Morbidity Across U.S. Counties: A Spatial Causal Inference Approach
di: Daw, Ranadeep, et al.
Pubblicazione: (2026)

Detecting Spatial Health Disparities Using Disease Maps
di: Aiello, Luca, et al.
Pubblicazione: (2023)

Principled Frequentist Estimation of Racial Disparity in Credit Approval under Unobserved Race
di: Fisher, Sam, et al.
Pubblicazione: (2025)

Lung Cancer Survival Prediction Using Machine Learning and Statistical Methods
di: Nair, Varun Vishwanathan, et al.
Pubblicazione: (2025)

Population Size Estimation with Many Lists and Heterogeneity: A Conditional Log-Linear Model Among the Unobserved
di: Rubio, Mateo Dulce, et al.
Pubblicazione: (2024)

Exploring Educational Equity: A Machine Learning Approach to Unravel Achievement Disparities in Georgia
di: Ma, Yichen, et al.
Pubblicazione: (2024)

Accommodating the Analysis Model in Multiple Imputation for the Weibull Mixture Cure Model:Performance under Penalized Likelihood
di: Xu, Changchang, et al.
Pubblicazione: (2025)

Comprehensive and Spatially Detailed Passenger Vehicle and Truck Traffic Volume Data for the United States Estimated by Machine Learning
di: Antonczak, Brittany, et al.
Pubblicazione: (2025)

Estimating Racial Disparities When Race is Not Observed
di: McCartan, Cory, et al.
Pubblicazione: (2023)

Masked Mineral Modeling: Continent-Scale Mineral Prospecting via Geospatial Infilling
di: Nair, Sujay, et al.
Pubblicazione: (2025)

Comparing Lasso and Adaptive Lasso in High-Dimensional Data: A Genetic Survival Analysis in Triple-Negative Breast Cancer
di: González-Barquero, Pilar, et al.
Pubblicazione: (2024)