Mining Transportation Issues from Patient Portal Messages

被引：0
|
作者：
Wang, Nan [1 ]
Huang, Ming [1 ]
Fan, Jungwei [1 ]
机构：
[1] Mayo Clin, Dept Artificial Intelligence & Informat, Rochester, MN 55902 USA
来源：
2022 IEEE 10TH INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2022) | 2022年
关键词：
patient portals; transportation of patients; health services accessibility; CARE;
D O I：
10.1109/ICHI54592.2022.00100
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Some patients experience difficulties in accessing healthcare because they were not able to find reliable transportation. For this project, we collected every patient portal message sent by patients in 2019 and selected every message with words related to transportation. We ended up with 177,658 words out of the original 59 million words and we plan to implement sentence embedding and clustering, followed by t-SNE dimensionality reduction.
引用
收藏
页码：532 / 533
页数：2
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