Demystifying the Advancements of Big Data Analytics in Medical Diagnosis: An Overview

Naik, Nithesh and Rallapalli, Yuvraj and Krishna, Manamohana and Vellara, Anoushka Suresh and Shetty, Dasharathraj K and Patil, Vathsala and Hameed, Zeeshan BM and Paul, Rahul and Prabhu, Nirmal and Rai, Bhavan Prasad and Chlosta, Poitr and Somani, Bhaskar K (2022) Demystifying the Advancements of Big Data Analytics in Medical Diagnosis: An Overview. Engineered Science, 19. pp. 42-58. ISSN 2576-988X

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Abstract

The healthcare industry generates a large amount of data, driven by record keeping, patient care, compliance and regulatory requirements. The digitization of the information is called “Big Data”, which is capable of supporting a wide range of medical and healthcare functions. Big data analytics (BDA) in healthcare is evolving into a promising field for providing insight from very large data sets and has the potential to improve the quality of healthcare delivery with a reduced cost. BDA has a significant impact on healthcare delivery and holds favourable support in a wide range of medical and healthcare applications that includes clinical decision support, disease surveillance, and population health management. BDA has brought in transformation in healthcare and enabled researchers and practitioners with tools to utilize data generated by healthcare systems globally. BDA also aids in preventing adverse events via early detection and diagnosis, leading to safer cost-effective procedures. In the interest of comprehending and analysing the complex biomedical data now accessible, BDA has become essential for the modeling, validating, and interpreting medical diagnosis through the broad spectrum of bioinformatics, medical imaging techniques, and precision medicine

Item Type: Article
Uncontrolled Keywords: Big data Analytics, Bioinformatics, Healthcare Diagnosis, Medical Imaging Techniques, Precision Medicine
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Dentistry > MCODS Manipal > Oral Medicine and Radiology
Engineering > MIT Manipal > Humanities and Management
Engineering > MIT Manipal > Mechanical and Manufacturing
Depositing User: MIT Library
Date Deposited: 25 Jul 2022 06:58
Last Modified: 25 Jul 2022 06:58
URI: http://eprints.manipal.edu/id/eprint/159028

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