A Survey on different semantic based machine learning techniques for Health Care data

Authors

  • Majji Venkata Kishore Research Scholar, Department of CS & SE, AUCE(A) at Andhra University, Visakhapatnam, Andhra Pradesh
  • Prajna Bodapati Professor, Department of CS & SE, AUCE(A) at Andhra University, Visakhapatnam, Andhra Pradesh

Keywords:

Artificial Intelligence (AI), Machine Learning(ML), Natural Language Processing (NLP), Deep Learning(DL), Electronic Health Record (HER)

Abstract

The Electronic Health Records (EHR), the system will provide the real-time data which is used in the research. for this  we use Natural Language Processing techniques , algorithms which are combined with Artificial Intelligence to extract the information. The present ERH is required to fill the potential using the NLP techniques for the direct decision of the clinical data. The Biomedical methods are combined with ML,DL, and NLP to process the ERH’s and predict the information and provide the challenges and trends in the health care.

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Published

2024-09-20

How to Cite

Majji Venkata Kishore, & Prajna Bodapati. (2024). A Survey on different semantic based machine learning techniques for Health Care data. Journal of Computational Analysis and Applications (JoCAAA), 33(07), 684–692. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1129

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