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Data Mining in Employee Healthcare Detection Using Intelligence Techniques for Industry Development.

Abolfazl MehbodniyaIhtiram Raza KhanSudeshna ChakrabortyM KarthikKamakshi MehtaLiaqat AliStephen Jeswinde Nuagah
Published in: Journal of healthcare engineering (2022)
Providing a good contribution to the general health welfare of noncommercial potential workers in the healthcare sector is an opportunity provided by this recommended job outcome. It is anticipated that alternative solutions to these constraints, as well as automation of the whole process flow of all five phases, will be the key focus of the work to be carried out shortly. Predicting health status of employee in industry or information trends is made easier by these data patterns. The proposed classifier achieves the accuracy rate of 93.265%.
Keyphrases
  • healthcare
  • electronic health record
  • health information
  • big data
  • public health
  • mental health
  • social support
  • loop mediated isothermal amplification
  • artificial intelligence