The Suggested Use of Big Data in Medical Analytics by Fortis Healthcare Hospital

Author:

Veeraiah Vivek1,Thejaswini K. O.1,Dilip R.2ORCID,Jain Sanjiv Kumar3ORCID,Sahu Aradhana4,Pramanik Sabyasachi5ORCID,Gupta Ankur6ORCID

Affiliation:

1. Sri Siddhartha Academy of Higher Education, India

2. Dayananda Sagar Academy of Technology and Management, India

3. Medi-Caps University, India

4. Rungta College of Engineering and Technology, India

5. Haldia Institute of Technology, India

6. Vaish College of Engineering, India

Abstract

The chapter describes how clinical data may be stored in digital formats, such as patient reports, as electronic health records, and how meaningful information from these records may be created using data analytics methods and tools that may assist patients and physicians to save time and money. The Apollo Hospital in Kolkata, West Bengal, India is the subject of this study. Apollo Hospital is the biggest hospital in West Bengal. It collects a huge quantity of heterogeneous data from various sources, including patient health records, lab test results, digital diagnostic supplies, healthcare insurance data, social media data, pharmaceutical data, gene expression records, transactions, and data from MY hospital's Mahatma Gandhi Memorial Medical College. Data analytics could be used to organise this data and make it retrievable. As a result, the term “big data” may be used. Big data is defined as exceptionally big datasets which may be analysed computationally to uncover trends, patterns, and relationships, visualisation, information privacy, and predictive analytics on a huge dataset.

Publisher

IGI Global

Reference18 articles.

1. Impact of Big Data on Digital Transformation in 5G Era

2. Deep Learning-based Privacy Preservation and Data Analytics for IoT Enabled Healthcare

3. ChellamV. V.VeeraiahV.KhannaA.SheikhT. H.PramanikS.DhabliyaD. (2023). A Machine Vision-based Approach for Tuberculosis Identification in Chest X-Rays Images of Patients, ICICC 2023. Springer.

4. Performance analysis based on probability of false alarm and miss detection in cognitive radio network

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Central Load Balancing Policy Over Virtual Machines on Cloud;Advances in Marketing, Customer Relationship Management, and E-Services;2024-04-19

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3