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ORGSCI
2010
92views more  ORGSCI 2010»
13 years 5 months ago
Are Technology-Intensive Industries More Dynamically Competitive? No and Yes
A growing body of research in management and related public policy fields concludes that the 1980s and 1990s saw greater dynamic competition throughout technology−intensive (“...
Paul M. Vaaler, Gerry McNamara
IDEAL
2004
Springer
14 years 26 days ago
Mobile Data Mining by Location Dependencies
Mobile mining is about finding useful knowledge from the raw data produced by mobile users. The mobile environment consists of a set of static device and mobile device. Previous wo...
Jen Ye Goh, David Taniar
KDD
2005
ACM
99views Data Mining» more  KDD 2005»
14 years 29 days ago
Disease progression modeling from historical clinical databases
This paper considers the problem of modeling disease progression from historical clinical databases, with the ultimate objective of stratifying patients into groups with clearly d...
Ronald K. Pearson, Robert J. Kingan, Alan Hochberg
HICSS
2008
IEEE
155views Biometrics» more  HICSS 2008»
14 years 1 months ago
Pseudonymization for improving the Privacy in E-Health Applications
— Electronic health records (EHR) promise to improve communication between health care providers, thus leading to better quality of patients’ treatment and reduced costs. As hi...
Bernhard Riedl, Veronika Grascher, Stefan Fenz, Th...
CBMS
2006
IEEE
14 years 1 months ago
Incoporating Data Mining Applications into Clinical Guildelines
Computer based clinical guidelines have been developed to help caregivers in practicing medicine. GLIF3 (Guideline Interchange Format 3) is one of several standards that specify t...
Reza Sherafat Kazemzadeh, Kamran Sartipi