Poster: Automatic Compliance Analysis on Clinical Notes and Lifestyle Guidelines in Cancer Survivorship

被引：0
|
作者：
Hou, Yujia [1 ]
Mostafa, Javed [1 ]
机构：
[1] Univ N Carolina, Carolina Hlth Informat Program, Chapel Hill, NC 27515 USA
来源：
2023 IEEE/ACM CONFERENCE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES, CHASE | 2023年
关键词：
Textual analysis; natural language processing; compliance analysis; lifestyle; cancer survivorship;
D O I：
10.1145/3580252.3589422
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Maintaining a healthy lifestyle has been proven to have significant benefits in cancer survivorship. It is expected that clinicians have a comprehensive understanding of publicly published cancer lifestyle guidelines and can effectively convey the information to patients. The objective of this paper is to develop an automatic text analysis method to assess the compliance of lifestyle information provided during medical visits and publicly available guidelines. Preliminary results show that selected lifestyle keywords appear an average of 3.54 times per medical visit, and 7% of medical notes pertain to patients' lifestyle. Semantic analysis and word dictionary will be applied to evaluate the extent of information compliance and inform strategies for improving lifestyle recommendations for cancer survivors.
引用
收藏
页码：203 / 204
页数：2
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