Diagnosing Physician Error: A Machine Learning Approach to Low-Value Health Care
收藏NBER2019-08-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w26168
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资源简介：
We use machine learning as a tool to study decision making, focusing specifically on how physicians diagnose heart attack. An algorithmic model of a patients probability of heart attack allows us to identify cases where physician testing decisions deviate from predicted risk. We then use actual
提供机构：
美国国家经济研究局
创建时间：
2019-08-01
