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

Nithesh Naik,1,2

Yuvraj Rallapalli,3

Manamohana Krishna,4

Anoushka Suresh Vellara,5

Dasharathraj K Shetty,6*Email

Vathsala Patil,7

BM Zeeshan Hameed,2,8

Rahul Paul,9

Nirmal Prabhu,10

Bhavan Prasad Rai,2,11

Piotr Chłosta12 

Bhaskar K Somani2,13

1Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576014, India
2iTRUE (International Training and Research in Uro-oncology and Endourology) Group, Manipal, Karnataka 576104, India
3Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576014, India
4Department of Computer Science Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India
5Department of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India
6Department of Humanities and Management, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India
7Department of Oral Medicine and Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India
8Department of Urology, Father Muller Medical College, Mangalore, Karnataka 575002, India
9Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
10School of Computer Science and Engineering, Vellore institute of Technology, Chennai, Tamil Nadu 600127, India
11Department of Urology, Freeman Hospital, Newcastle upon Tyne NE7 7DN, UK
12Department of Urology, Jagiellonian University in Krakow, Kraków 31-007, Poland
13Department of Urology, University Hospital Southampton NHS Trust, Southampton SO16 6YD, UK

 

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.

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