Innovations in Healthcare Analytics: A Review of Data Mining Techniques

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IJSCE
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Published: Jul 22, 2023
DOI: https://doi.org/10.35940/ijsce.B3609.0513223
Keywords:
Data Mining, Health Care, SVM, ANN

Main Article Content

Shikha Bhardwaj
Department of Computer Science, Mahatma Jyoti Rao Phoole University, Jaipur (R.J), India
https://orcid.org/0009-0009-4759-3919
Prof. Neeraj Bhargava
Department of Computer Science, M.D.S University, Ajmer (R.J), India
https://orcid.org/0000-0002-1824-499X
Dr. Ritu Bhargava
Sophia girls’ College, Ajmer (R.J), India
https://orcid.org/0000-0001-6629-9402

Abstract

This review article provides an overview of the current state of data mining applications in healthcare, including case studies, challenges, and future directions. The article begins with a discussion of the role of data mining in healthcare, highlighting its potential to transform healthcare delivery and research. It then provides a comprehensive review of the various data mining techniques and tools that are commonly used in healthcare, including predictive modelling, clustering, and association rule mining. The article also discusses some key challenges associated with data mining in healthcare, such as data quality, privacy, and security, and suggests possible solutions. Finally, the article concludes with a discussion of the future directions of data mining in healthcare, highlighting the need for continued research and development in this field. The article emphasises the importance of collaboration between healthcare providers, data scientists, and policymakers to ensure that data mining is used ethically and effectively to improve patient outcomes and support evidence-based decision-making in healthcare.

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Article Details

How to Cite
[1]
Shikha Bhardwaj, Prof. Neeraj Bhargava, and Dr. Ritu Bhargava, “Innovations in Healthcare Analytics: A Review of Data Mining Techniques”, IJSCE, vol. 13, no. 2, pp. 8–14, Jul. 2023, doi: 10.35940/ijsce.B3609.0513223.
Issue
Vol. 13 No. 2 (2023): Volume-13 Issue-2, May 2023
Section
Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

CC-BY-NC-ND 4.0

Author Biographies

Shikha Bhardwaj, Department of Computer Science, Mahatma Jyoti Rao Phoole University, Jaipur (R.J), India

Shikha Bharadwaj is research scholar in Department of computer science, Mahatma Jyoti Rao Phoole University, Jaipur (India). she is currently doing her research work in domain of data mining.

Prof. Neeraj Bhargava, Department of Computer Science, M.D.S University, Ajmer (R.J), India

Prof. Neeraj Bhargava, working as Professor in M.D.S University, Ajmer. He is Head of the Department of Computer Science and school of engineering and System Science, MDS University, Ajmer. He has more than 26 years of teaching experience and guided many research projects throughout. He has been prominent in teaching and research and his papers are having great impact among young researchers in India and Abroad.

Dr. Ritu Bhargava, Sophia girls’ College, Ajmer (R.J), India

Dr. Ritu Bhargava is working is Lecturer in Sophia girls’ College, Ajmer. She has been senior academician and prominent faculty of computer Science. She has been teaching in many governments and private firm as visiting faculty.

How to Cite

[1]
Shikha Bhardwaj, Prof. Neeraj Bhargava, and Dr. Ritu Bhargava, “Innovations in Healthcare Analytics: A Review of Data Mining Techniques”, IJSCE, vol. 13, no. 2, pp. 8–14, Jul. 2023, doi: 10.35940/ijsce.B3609.0513223.
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