Data mining technology combined with out-of-hospital cardiac arrest, symptom association and prediction model probing

Chih Chun Chang, Jui Hung Kao, Chien Yeh Hsu, Homg Twu Liaw, Tse Chun Wang

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)

摘要

Since the first ambulance has been introduced to Taiwan, the members of fire departments have been dedicating themselves to emergency service training. Though all the emergency rescue measures have been improved, the causes and problems of Out-of Hospital-cardiac Arrest (OHCA) caused are still actively being explored by the experts from emergency medicine. The main causes of Out-of-Hospital Cardiac Arrest are classified into two categories: medical causes and surgical causes, the later ones mainly caused by car accidents or falls. There are some chronic disease such as heart disease (myoeardial infaracriton), chronic kidney disease, and diabetes are highly associated with Out-of-Hospital-Cardiac Arrest medical causes (Patel et al. 2014). However, in Taiwan, heart disease, hypertension, and diabetes mellitus are recognized as the three main medical causes for Out-of-Hospital-Cardiac Arrest. © 2018, Springer Nature Singapore Pte Ltd.
原文英語
主出版物標題Frontier Computing - Theory, Technologies and Applications FC 2017
編輯Neil Y. Yen, Jason C. Hung, Lin Hui
發行者Springer Verlag
頁面298-309
頁數12
ISBN(列印)9789811073977
DOIs
出版狀態已發佈 - 2018
事件6th International Conference on Frontier Computing, FC 2017 - Osaka, 日本
持續時間: 7月 12 20177月 14 2017

出版系列

名字Lecture Notes in Electrical Engineering
464
ISSN(列印)1876-1100
ISSN(電子)1876-1119

會議

會議6th International Conference on Frontier Computing, FC 2017
國家/地區日本
城市Osaka
期間7/12/177/14/17

ASJC Scopus subject areas

  • 工業與製造工程

指紋

深入研究「Data mining technology combined with out-of-hospital cardiac arrest, symptom association and prediction model probing」主題。共同形成了獨特的指紋。

引用此