scholarly journals Target-Focused Feature Selection Using Uncertainty Measurements in Healthcare Data

2020 ◽  
Vol 1 (3) ◽  
pp. 1-17
Author(s):  
Orpaz Goldstein ◽  
Mohammad Kachuee ◽  
Kimmo Karkkainen ◽  
Majid Sarrafzadeh
Author(s):  
Qiao Li Qiao Li ◽  
Chengyu Liu Chengyu Liu ◽  
Julien Oster Oster ◽  
Gari D. Clifford Clifford

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 9145-9154 ◽  
Author(s):  
Shamsul Huda ◽  
John Yearwood ◽  
Herbert F. Jelinek ◽  
Mohammad Mehedi Hassan ◽  
Giancarlo Fortino ◽  
...  

Author(s):  
Lindsey M. Kitchell ◽  
Francisco J. Parada ◽  
Brandi L. Emerick ◽  
Tom A. Busey

2016 ◽  
Vol 10 (1) ◽  
pp. 36
Author(s):  
Gregory J Dehmer ◽  

Public reporting of healthcare data is not a new concept. This initiative continues to proliferate as consumers and other stakeholders seek information on the quality and outcomes of care. Furthermore, mandates for the development of additional public reporting efforts are included in several new healthcare legislations such as the Affordable Care Act. Many current reporting programs rely heavily on administrative data as a surrogate for true clinical data, but this approach has well-defined limitations. Clinical data are traditionally more difficult and costly to collect, but more accurately reflect the clinical status of the patient, thus enhancing validity of the quality metrics and the reporting program. Several professional organizations have published policy statements articulating the main principles that should establish the foundation for public reporting programs in the future.


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