Investigating patients’ visits to emergency departments: A behavior-based icd-9-cm codes decision tree induction approach

Yen Yi Feng, I. Chin Wu, Yu Ping Ho

研究成果: 書貢獻/報告類型會議貢獻

摘要

Increasing healthcare costs have motivated researchers to seek ways to more efficiently use medical resources. The aim of our study was to adopt the explanatory data-mining approach to identify characteristics of emergency department (ED) visits for ED management. To that end, we adopted a behavior-based decision tree (DT) induction method that considers medical diagnoses and individual patients’ information, i.e., 11 input variables, in order to analyze characteristics of patients’ visits to EDs and predict the length of the stays. We interpreted the results based on the communicability and consistency of the DT, represented as a behavior-based DT profile in order to increase its explanatory power. Among the major preliminary findings, the DT with International Classification of Diseases diagnosis codes achieved better clinical values for explaining the characteristics of patients’ visits. Our results can serve as a reference for ED personnel to examine overcrowding conditions as part of medical management.

原文英語
主出版物標題HCI in Business, Government and Organizations - 7th International Conference, HCIBGO 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
編輯Fiona Fui-Hoon Nah, Keng Siau
發行者Springer
頁面34-45
頁數12
ISBN(列印)9783030503406
DOIs
出版狀態已發佈 - 2020
對外發佈Yes
事件7th International Conference on HCI in Business, Government, and Organizations, HCIBGO 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, 丹麦
持續時間: 2020 七月 192020 七月 24

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12204 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

會議

會議7th International Conference on HCI in Business, Government, and Organizations, HCIBGO 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
國家丹麦
城市Copenhagen
期間20/7/1920/7/24

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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