通过文本挖掘对集水区相关性进行机器评估。

Q4 Biochemistry, Genetics and Molecular Biology Critical Reviews in Oncogenesis Pub Date : 2024-01-01 DOI:10.1615/CritRevOncog.2023049949

Philip A Arlen, Joseph Chakko, Geoffrey DeGennaro, Erin Kobetz, Brandon Mahal

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引用次数: 0

摘要

迈阿密大学西尔维斯特综合癌症中心社区外展与参与办公室开发了一种算法，用于帮助确定与服务区相关的试验。我们开发这一工具的目的是为了捕捉代表美国种族、民族和地理多样性最丰富的地区（南佛罗里达）。不幸的是，该地区的肿瘤负担也很重，存在许多明显的差异，因此有必要优先考虑西尔维斯特服务区内的试验。这些试验针对当地流行的癌症，满足了西尔维斯特所服务人群的需求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Machine Evaluation of Catchment Area Relevance through Text Mining.

The University of Miami Sylvester Comprehensive Cancer Center Community Outreach and Engagement Office has developed an algorithm to aid in identifying catchment area relevant trials. We have developed this tool to capture a catchment area (South Florida) that represents the most racially, ethnically, and geographically diverse region in the US. Unfortunately, the area's tumor burden is also significant with many notable disparities, necessitating a prioritization of trials within Sylvester's catchment area. These trials address the needs of the population Sylvester serves by targeting cancers that are locally prevalent.

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来源期刊

Critical Reviews in Oncogenesis Biochemistry, Genetics and Molecular Biology-Cancer Research

CiteScore

1.70

自引率

0.00%

发文量

期刊介绍： The journal is dedicated to extensive reviews, minireviews, and special theme issues on topics of current interest in basic and patient-oriented cancer research. The study of systems biology of cancer with its potential for molecular level diagnostics and treatment implies competence across the sciences and an increasing necessity for cancer researchers to understand both the technology and medicine. The journal allows readers to adapt a better understanding of various fields of molecular oncology. We welcome articles on basic biological mechanisms relevant to cancer such as DNA repair, cell cycle, apoptosis, angiogenesis, tumor immunology, etc.

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