echocardiography
收藏OpenDataLab2026-05-17 更新2024-05-09 收录
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资源简介:
用于分类患者是否会在心脏病发作后存活至少一年的数据。所有患者在过去的某个时候都遭受了心脏病发作。有些还活着,有些则没有。存活和静止变量加在一起,表明患者在心脏病发作后是否存活了至少一年。
过去的研究人员解决的问题是从其他变量中预测患者是否可以存活至少一年。这个问题最困难的部分是正确预测患者将无法生存。(部分困难似乎是数据集的大小。)
This dataset is intended for binary classification to predict whether patients will survive for at least one year after a heart attack. All enrolled patients have suffered a heart attack at some point in the past. Some of these patients are still alive, while others have passed away. The combination of the survived and non-survived variables acts as the label indicating whether the patient survived for at least one year following their heart attack. The problem addressed by previous researchers is to predict a patient's one-year survival outcome using other clinical variables. The most challenging part of this task is accurately identifying patients who will not survive. (This difficulty partially stems from the dataset's size.)
提供机构:
OpenDataLab
创建时间:
2022-10-17
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集用于预测心脏病发作后患者能否存活至少一年,基于历史数据分类生存状态,其中正确预测非生存案例是主要挑战。数据由哈佛大学于1989年发布,旨在支持相关医疗研究。
以上内容由遇见数据集搜集并总结生成



