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Updated: Feb 24, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

米国における農村がん対策研究への空間的方法論の応用

Whitney E Zahnd^1,2, Jan M Eberth³, Sarah H Nash^4,5

¹Department of Health Management and Policy, College of Public Health, University of Iowa, 145 N. Riverside Dr, Iowa City, IA 52242 USA.

Current epidemiology reports

|February 23, 2026

要旨

Purpose Of Review:

The 66 million Americans who live in rural areas experience notable cancer disparities. It is imperative to examine the spatial elements of these disparities to know how to best target policies and interventions. Our review summarizes spatial methods in rural cancer control research.

Recent Findings:

Spatial methods relevant for rural cancer control research range from identifying patterns to spatial accessibility to regression approaches. Recent applications have adapted to the new rural health landscape by considering the role of telehealth in spatial accessibility measures and the impact of rural hospital closures in multilevel regression modeling with spatial considerations. Further, research continues to innovate on small area estimation techniques to provide useful risk factor and burden estimates to inform interventions.

Summary:

As rural cancer disparities persist, it is critical that researchers continue to develop and adapt spatial methods that will best inform policies and interventions to reduce these disparities.

キーワード:

がん農村の健康マッピングと可視化空間疫学空間統計学

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Applications of Spatio-temporal Mapping and Particle Analysis Techniques to Quantify Intracellular Ca2+ Signaling In Situ

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Published on: January 7, 2019

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