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Computational intelligence techniques for efficient delivery of healthcare

  • Brijendra Singh
  • D. P. AcharjyaEmail author
Original Paper
  • 3 Downloads
Part of the following topical collections:
  1. Internet Of Medical Things In E-Health
  2. Internet Of Medical Things In E-Health

Abstract

Computational intelligence innovation and the use of computers have changed the entire healthcare delivery system. Nurses are the leading crew of healthcare organization. But, these nurses are either lacking in computer usage or automated analysis generated by computers. Therefore, it motivates to study the use of computers and information technology by nurses in Indian healthcare system. Further, it is essential to identify the chief factors where these nurses are lacking while using computers and information technology. This will help the management to take necessary measure to train them and make the healthcare industry more productive in perception with usage of computer and information technology. To this end, data has collected from nurses in hospitals in the state of Tamilnadu, India. Data collection is not beneficial unless it is analyzed and meaningful information obtained from it. In this paper, we hybridize rough set and formal concept analysis to arrive at chief factors affecting the decisions. Rough set is used to analyze the data and to generate rules. These generated rules further passed into formal concept analysis to identify the chief characteristics affecting the decisions. This in turn help the organization to provide adequate training to the nurses and the healthcare system will move further to the next stage.

Keywords

Rule generation Reduct Core Healthcare Indiscernibility Concept lattice Implication relation Subconcept Superconcept 

Notes

Compliance with Ethical Standards

Conflict of interests

First Author declares that he has no conflict of interest. Second Author declares that he has no conflict of interest.

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Copyright information

© IUPESM and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Information Technology and Engineering VITVelloreIndia
  2. 2.School of Computer Science and Engineering VITVelloreIndia

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