Electronic Medical Record Data-Mining

EMR data-mining code such as association rules for order recommendations and outcome predictions and order set evaluation <br/><br/>This project includes the following software/data packages: <br/> <ul> <li> <a href="https://simtk.org/frs?group_id=892#pack_1869">Order Sets and Topic Models </a> : Application code and support script to reproduce topic model and order set prediction evaluations as published in JAMIA 2016 manuscript. </li> <li> <a href="https://simtk.org/frs?group_id=892#pack_1969">ICU DNR </a> : Data underlying paper: "Reversals and Limitations of High-Intensity, Life-Sustaining Treatments" regarding clinical factors associated with DNR and Comfort Care orders in the ICU </li> <li> <a href="https://simtk.org/frs?group_id=892#pack_1809">Item Association Code PSB 2016 </a> </li> </ul>

电子病历数据挖掘代码，包括订单推荐和结果预测的关联规则以及订单集评估。本项目包含以下软件/数据包：
<ul>
<li>订单集与主题模型<a href="https://simtk.org/frs?group_id=892#pack_1869">应用代码和支持脚本</a>，用于重现JAMIA 2016手册中发布的主题模型和订单集预测评估。</li>
<li>ICU DNR<a href="https://simtk.org/frs?group_id=892#pack_1969">数据</a>，为论文“高强度的生命维持治疗的逆转与局限性”提供基础，该论文探讨了与ICU中DNR和舒适护理订单相关的临床因素。</li>
<li>项目关联代码PSB 2016<a href="https://simtk.org/frs?group_id=892#pack_1809"></a></li>
</ul>