分析临床数据如何影响医生开检查和开药决策。
Feature importance analysis for patient management decisions
- 从4486名术后心脏病患者数据中提取特征，研究医生决策依据。
- 仅用少数关键特征即可较好预测约335种检验和407种用药决策。
- 为临床辅助决策系统提供可解释性支持，适合医疗AI研究者参考。
本文旨在理解临床数据中的哪些特征最影响医生开具实验室检验或处方药物的决策。我们基于4486名术后心脏手术患者的电子健康记录数据，对335种不同的检验项目决策和407种药物决策进行了分析。结果显示，在许多情况下，医生的检验和用药决策能够通过所有特征中的一个较小子集得到良好预测。
原文摘要 · Abstract (English)
The objective of this paper is to understand what characteristics and features of clinical data influence physician's decision about ordering laboratory tests or prescribing medications the most. We conduct our analysis on data and decisions extracted from electronic health records of 4486 post-surgical cardiac patients. The summary statistics for 335 different lab order decisions and 407 medication decisions are reported. We show that in many cases, physician's lab-order and medication decisions can be well predicted from a small subset of all features.
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