Study on an identification of chronical disease prediction using Artificial Intelligence and Big Data

Study on an identification of chronical disease prediction using Artificial Intelligence and Big Data

Registration ID: IJNRD_191516

Published ID: IJNRD2304338

DOI: http://doi.one/10.1729/Journal.38770

Ms Poonam Abraham Lakra

Artificial Intelligence, Big data, Biomedical, Machine learning, Algorithm, Electronic Health Record, Medical Health Record

Knowledge driven from technology has always benefited the human being to large extent. Few years back during 20th mid-century, what was figment of the imagination of many scientists, Artificial Intelligence has turned into reality. Artificial Intelligence (AI) is the simulation of human intelligence demonstrated by machines This aspect involves learning, reasoning and self-correction. AI has started bringing new revolution in the medical healthcare. The amalgamation of AI in healthcare sector has empowered the human limits. In this review article, various latest development of applications of AI in the field of biomedical including diagnosis and prediction analysis of disease is highlighted. There are certain challenges as well in imbibing the AI framework in medical. The healthcare industry is expanding and rising every year. With this there is huge volume of data generated. As the data grow exponentially, the implementation of machine learning and big data helps in filtering the required data from huge volume of data and turn it into actionable information. Disease always shows the different condition and effects gradually in the diagnosis. But many a time due of lack of correct analysis, disease are not diagnosis prior. This study highlights the different strategies and algorithm used in machine learning, artificial intelligence and big data. This study covered different articles which highlights the various methods and algorithms used to search best optimal way to predict the disease. The data is captured either with Electronic Health Record (EHR) or Medical Health Record (MHR).

Published Paper   E-Certificate

"Study on an identification of chronical disease prediction using Artificial Intelligence and Big Data", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 4, page no.d259-d271, April-2023, Available :https://ijnrd.org/papers/IJNRD2304338.pdf

Volume 8 Issue 4, April-2023

Pages : d259-d271

Paper Reg. ID: IJNRD_191516

Published Paper Id: IJNRD2304338

Downloads: 000121163

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304338.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304338

DOI: http://doi.one/10.1729/Journal.38770

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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