Paper Title

AI Based Disease Prediction Technology (DPT-AI-CH1)

Article Identifiers

Registration ID: IJNRD_210162

Published ID: IJNRD2312032

DOI: Click Here to Get

Authors

Mr. Buddh Bhagwan Sahu

Keywords

Prediction, Personalization, Participation, Database, Non-communicable chronic diseases, Proactive, Healthcare innovation and Prevention, Dataset. Linear, Non-Linear learning techniques, support vector machines, Sigmoid and Restricted Boltzmann Methods.

Abstract

In this chapter our main motive to introduce about implementation beginning. Artificial Intelligence is one and only way to define everything such as man power, machine capacity, honesty, accuracy, and medical science related diagnosis, treatment, precautions, preventions, future on visions. AI based disease prediction technology (DPT-AI) can give the enormous route to give healthy life. Initially we will execute our disease prediction technology in manual version. The dependency on computer-based technology has resulted in storage of lot of electronic data in the health care industry. As a result of which, health professionals and doctors are dealing with demanding situations to research signs and symptoms correctly and perceive illnesses at an early stage. However, Machine Learning technologies have been proven beneficial in giving an immeasurable platform in the medical field so that health care issues can be resolved effortlessly and expeditiously. Disease Prediction is a Machine Learning based system which primarily works according to the symptoms given by a user. The disease is predicted using python and many supportive programming language algorithms & comparison of the datasets with the symptoms provided by the user.

How To Cite

"AI Based Disease Prediction Technology (DPT-AI-CH1)", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 12, page no.a228-a243, December-2023, Available :https://ijnrd.org/papers/IJNRD2312032.pdf

Issue

Volume 8 Issue 12, December-2023

Pages : a228-a243

Other Publication Details

Paper Reg. ID: IJNRD_210162

Published Paper Id: IJNRD2312032

Downloads: 000121185

Research Area: Computer Science & Technology 

Country: Raipur, Chhattisgarh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2312032.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2312032

About Publisher

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

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

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

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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