古巴妇女乳腺癌风险因素数据集:来自哈瓦那的流行病学证据。

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-10-22 eCollection Date: 2024-12-01 DOI:10.1016/j.dib.2024.111029
José Manuel Valencia-Moreno, Jose Angel Gonzalez-Fraga, Everardo Gutierrez-Lopez, Hugo Alexis Cantero-Ronquillo
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引用次数: 0

摘要

该数据集汇集了在古巴哈瓦那曼努埃尔-法哈多司令官医院(Hospital Universitario Clínico-Quirúrgico Comandante Manuel Fajardo)就诊的 1697 名古巴妇女的乳腺癌风险因素。收集这些数据是为了开发一个专门针对古巴人口的乳腺癌风险评估模型。数据集包括 23 个变量,涵盖了国际公认的风险因素,如乳腺癌家族史、生活习惯、人口特征和临床结果。数据从电子记录中提取,并经过匿名处理以保护患者隐私,符合《赫尔辛基宣言》的原则,并获得了医院科学和伦理委员会的批准。该数据集可用于开发预测模型和对不同人群的风险因素进行比较研究。值得注意的是,数据来源于一家医院,这可能会限制其在全国范围内的代表性。
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A dataset of breast cancer risk factors in Cuban women: Epidemiological evidence from Havana.

This dataset compiles breast cancer risk factors from 1697 Cuban women who attended consultations at the Hospital Universitario Clínico-Quirúrgico Comandante Manuel Fajardo in Havana, Cuba. The data were collected to develop a breast cancer risk estimation model specifically tailored to the Cuban population. The dataset includes 23 variables encompassing internationally recognized risk factors such as family history of breast cancer, lifestyle habits, demographic characteristics, and clinical outcomes. The data were extracted from electronic records and anonymized to protect patient privacy, in compliance with the principles of the Declaration of Helsinki and with the approval of the hospital's scientific and ethics committees. This dataset can be employed in the development of predictive models and in comparative studies of risk factors across different populations. It is important to note that the data originate from a single hospital, which may limit their representativeness at the national level.

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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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