BriefGPT.xyz
Dec, 2023
领域约束在缺失结果数据时提高风险预测能力
Domain constraints improve risk prediction when outcome data is missing
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Sidhika Balachandar, Nikhil Garg, Emma Pierson
TL;DR
机器学习模型用于预测人类决策结果的研究中,提出了一种贝叶斯模型,用于准确估计已测试和未测试患者的风险,并通过健康领域的普遍性约束和专业性约束改进了参数推断。
Abstract
machine learning models
are often trained to predict the outcome resulting from a
human decision
. For example, if a doctor decides to test a patient for disease, will the patient test positive? A challenge is tha
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