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Big Data Analysis using Machine Learning for Health Systems
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 9 |
| Year of Publication: 2023 |
| Authors: Deepak Gupta, Shikha Gupta |
10.5120/ijca2023922745
|
Deepak Gupta, Shikha Gupta . Big Data Analysis using Machine Learning for Health Systems. International Journal of Computer Applications. 185, 9 ( May 2023), 8-13. DOI=10.5120/ijca2023922745
Abstract
The growth of big data in the healthcare industry presents new opportunities for data-driven decision making, but also poses significant challenges due to the complexity and heterogeneity of health data. Big data analysis itself is challenging task for real time applications and involving machine learning make it more rigid towards the solution. But believing that combining both will provide the effective and efficient solution and intelligence decision making. In this study, we review the current state-of-the-art in big data analytics and the learning model for decision support system using machine learning techniques for healthcare, and we discuss their potential impact on healthcare delivery and patient outcomes. Our framework addresses key challenges in healthcare data, such as missing data, high dimensionality, and class imbalance. We also discuss ethical and regulatory considerations for big data in healthcare, and we propose a set of best practices for ensuring patient privacy and data security. An initial survey has been carried out to define the field for big data. Hadoop tools has been used for data analysis from various hospitals as it provides us an efficient way to store data in a distributed fashion which reduce the high storage personal units like drives and others. Supervised learning with hidden markov model is suggested in this approach for intelligent behavior of proposed model.
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