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Social and Behavioral Sciences Commons™
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Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
Barriers To Predictive Analytics Use For Policy Decision-Making Effectiveness In Turbulent Times: A Case Study Of Fukushima Nuclear Accident, Akemi T. Chatfield, Christopher Reddick
Barriers To Predictive Analytics Use For Policy Decision-Making Effectiveness In Turbulent Times: A Case Study Of Fukushima Nuclear Accident, Akemi T. Chatfield, Christopher Reddick
Faculty of Engineering and Information Sciences - Papers: Part A
No abstract provided.
Cost-Effective Big Data Mining In The Cloud: A Case Study With K-Means, Qiang He, Xiaodong Zhu, Dongwei Li, Shuliang Wang, Jun Shen, Yun Yang
Cost-Effective Big Data Mining In The Cloud: A Case Study With K-Means, Qiang He, Xiaodong Zhu, Dongwei Li, Shuliang Wang, Jun Shen, Yun Yang
Faculty of Engineering and Information Sciences - Papers: Part B
Mining big data often requires tremendous computationalresources. This has become a major obstacle to broad applicationsof big data analytics. Cloud computing allows data scientists to access computationalresources on-demand for building their big data analytics solutions in the cloud.
Precision Of Emr Data: The Case For A Drug And Alcohol Service, Siyu Qian, Esther Munyisia, Ping Yu, David M. Hailey, David Reid
Precision Of Emr Data: The Case For A Drug And Alcohol Service, Siyu Qian, Esther Munyisia, Ping Yu, David M. Hailey, David Reid
Faculty of Engineering and Information Sciences - Papers: Part B
Error-laden data can negatively affect clinical and operational decision making, research findings and funding allocation. This study examined the number and types of data errors in an electronic medical record (EMR) system in a Drug and Alcohol service. Specifically, errors in service data were examined. 9,379 errors were identified from ten error reports generated between March 2015 and May 2016, three months after the implementation of the EMR system. These errors were grouped into four types: mismatched data fields (60.5%), duplicate medical record error (3.2%), date/time error (8.8%) and blank field error (27.4%). The errors can be prevented by adding …
The Effect Of Nursing Participation In The Design Of A Critical Care Information System: A 4 Case Study In A Chinese Hospital, Yanhong Qin, Ranyun Zhou, Qiong Wu, Xiaodi Huang, Xinli Chen, Weiwei Wang, Xun Wang, Hua Xu, Jing Zheng, Siyu Qian, Changqing Bai, Ping Yu
The Effect Of Nursing Participation In The Design Of A Critical Care Information System: A 4 Case Study In A Chinese Hospital, Yanhong Qin, Ranyun Zhou, Qiong Wu, Xiaodi Huang, Xinli Chen, Weiwei Wang, Xun Wang, Hua Xu, Jing Zheng, Siyu Qian, Changqing Bai, Ping Yu
Faculty of Engineering and Information Sciences - Papers: Part B
No abstract provided.