Geographical Based Clinical Data Analysis in Hdfs for the Prediction of Severe Diseases With Hl7 Message Preprocessing

Authors

  • Veeramalai Sankaradass Department Of Computer Science and Engineering, Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, Tamil Nadu, India Author
  • P.Karthikeyan Department Of Computer Science and Engineering, Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, Tamil Nadu, India. Author
  • Umanath.K Department of Mechanical Engineering, Academy of Maritime Education and Training, Chennai, Tamil Nadu, India. Author
  • J. Judith Esther Martina Department Of Computer Science and Engineering, Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, Tamil Nadu, India. 5Department Of Computer Author
  • G.Niveka Department Of Computer Science and Engineering, Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, Tamil Nadu, India. Author
  • A. Ashikaa Department Of Computer Science and Engineering, Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, Tamil Nadu, India. Author

DOI:

https://doi.org/10.61841/951mfe50

Keywords:

Hadoop Database File System, Health Level7, Clinical Document Architecture, Hadoop, Healthcare Data, Data Analysis, Electronic Healthcare Records

Abstract

To give a profound investigation on the medicinal services information has turned out to be increasingly unpredictable for the reason that basic social insurance message group by utilizing huge information examination and make the infection forecast system. Health Level 7 message design is utilized for exchanging the messages from Hadoop database document frameworks to the clinics and to the portable application. Utilization of hadoop database record framework to oversee substantial measure of information and to order them and furthermore to store these information in the database. Utilizing Hadoop would be better when contrasted with social database the board framework. Human services information is for sparing the lives of numerous individuals. Utilizing recorded information gave to the Hadoop database malady expectation process happens. Malady forecast is finished with Artificial Intelligence.

     

 

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Published

31.10.2020

How to Cite

Veeramalai Sankaradass, P.Karthikeyan, Umanath.K, Martina, J. J. E., G.Niveka, & A. Ashikaa. (2020). Geographical Based Clinical Data Analysis in Hdfs for the Prediction of Severe Diseases With Hl7 Message Preprocessing. International Journal of Psychosocial Rehabilitation, 24(8), 14165-14178. https://doi.org/10.61841/951mfe50