A review of emerging technologies for the management of diabetes mellitus
Objective: High prevalence of diabetes mellitus (DM) along with the poor health outcomes
and the escalated costs of treatment and care poses the need to focus on prevention, early …
and the escalated costs of treatment and care poses the need to focus on prevention, early …
Improving association rule mining using clustering-based discretization of numerical data
SC Tan - 2018 International Conference on Intelligent and …, 2018 - ieeexplore.ieee.org
Association rule mining is an important data mining technique that help discover interesting
attribute relationships that are useful for decision making. Most association rule mining …
attribute relationships that are useful for decision making. Most association rule mining …
Positive and negative association rules mining for mental health analysis of college students
L Zhao, F Hao, T Xu, XJ Dong - EURASIA Journal of Mathematics …, 2017 - ejmste.com
The psychological problems of college students have aroused general concerns. A lot of
college students are plagued by all kinds of psychological health problems. Psychological …
college students are plagued by all kinds of psychological health problems. Psychological …
Healthcare data mining, association rule mining, and applications
CW Cheng, MD Wang - Health informatics data analysis: methods and …, 2017 - Springer
In this chapter, we first introduce data mining in general by summarizing popular data mining
algorithms and their applications demonstrated in real healthcare settings. Afterward, we …
algorithms and their applications demonstrated in real healthcare settings. Afterward, we …
Intervisar: An interactive visualization for association rule search
Association rule mining has been utilized extensively in many areas because it has the
ability to discover relationships among variables in large databases. However, one main …
ability to discover relationships among variables in large databases. However, one main …
icuARM-II: improving the reliability of personalized risk prediction in pediatric intensive care units
CW Cheng, N Chanani, K Maher… - Proceedings of the 5th …, 2014 - dl.acm.org
Clinicians in intensive care units (ICUs) rely on standardized scores as risk prediction
models to predict a patient's vulnerability to life-threatening events. Current scales calculate …
models to predict a patient's vulnerability to life-threatening events. Current scales calculate …
[引用][C] Development of integrated informatics analytics for improved evidence-based, personalized, and predictive health.
CW Cheng - 2016 - Georgia Institute of Technology …