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
Keyword(s):  
Feature Selection ◽  
Healthcare Data ◽  
Uncertainty Measurements

Signal processing and feature selection preprocessing for classification in noisy healthcare data

2016 ◽  
pp. 33-58 ◽  
Author(s):  
Qiao Li Qiao Li ◽  
Chengyu Liu Chengyu Liu ◽  
Julien Oster Oster ◽  
Gari D. Clifford Clifford
Keyword(s):  
Signal Processing ◽  
Feature Selection ◽  
Healthcare Data

scholarly journals A Hybrid Feature Selection With Ensemble Classification for Imbalanced Healthcare Data: A Case Study for Brain Tumor Diagnosis

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 9145-9154 ◽  
Author(s):  
Shamsul Huda ◽  
John Yearwood ◽  
Herbert F. Jelinek ◽  
Mohammad Mehedi Hassan ◽  
Giancarlo Fortino ◽  
...  
Keyword(s):  
Feature Selection ◽  
Brain Tumor ◽  
Tumor Diagnosis ◽  
Ensemble Classification ◽  
Healthcare Data ◽  
Brain Tumor Diagnosis

Feature Selection Strategies and Perceptual Expertise in Configuration Search Tasks

2011 ◽  
Author(s):  
Lindsey M. Kitchell ◽  
Francisco J. Parada ◽  
Brandi L. Emerick ◽  
Tom A. Busey
Keyword(s):  
Feature Selection ◽  
Perceptual Expertise ◽  
Search Tasks ◽  
Selection Strategies

Public Reporting of Cardiovascular Data: Benefits, Pitfalls, and Vision for the Future

2016 ◽  
Vol 10 (1) ◽  
pp. 36
Author(s):  
Gregory J Dehmer ◽  
Keyword(s):  
Clinical Data ◽  
Clinical Status ◽  
Public Reporting ◽  
Professional Organizations ◽  
Healthcare Data ◽  
Outcomes Of Care ◽  
The Future ◽  
Policy Statements ◽  
Quality And Outcomes ◽  
Reporting Programs

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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