Analysis of Big Data Technology for Health Care Services

TL;DR

This paper reviews how big data and deep learning technologies are transforming healthcare by improving accuracy in medical imaging, genomics, and patient records analysis.

Contribution

It provides a comprehensive overview of recent advances in applying big data technologies to various healthcare domains.

Findings

Deep learning models achieve near-human accuracy in medical tasks.

Big data enables improved diagnostics and personalized treatment.

The review highlights key contributions in medical imaging, genomics, and health records.

Abstract

Deep learning and other big data technologies have over time become very powerful and accurate. There are algorithms and models developed that have near human accuracy in their task. In health care, the amount of data available is massive and hence, these technologies have a great scope in health care. This paper reviews a few interesting contributions to the field specifically to medical imaging, genomics and patient health records.