 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
|
Issue: December 2025
Volume 10 | Issue 12
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | AI-DRIVEN IOT FOR PREDICTIVE HEALTHCARE: LITERATURE STUDY |
| Authors Name: | Bhavya Venkatesh , Dr. KamalRaj |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202145
|
| Published Paper Id: | IJRTI2504189 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | This paper examines the groundbreaking potential offered by the combination of Artificial Intelligence (AI) and the Internet of Things (IoT) in predictive healthcare about chronic disease management. The study assesses the evolution of health monitoring through real-time health tracking, predictive analysis, and custom tailoring of therapies. Data security, integration into the preexisting healthcare systems, and ethical issues are some aspects the paper examines. The adoption of decentralized data storage and Explainable AI (XAI) was posited as a way to improve transparency and trust in AI systems which request for more trust and enhance AI systems. The paper closed with anticipated future growth in innovation AI-based healthcare innovations. The combination of Artificial Intelligence (AI) and Internet of Things (IoT) technologies is changing predictive healthcare, particularly regarding the treatment of chronic diseases. AI-powered IoT devices allow for real-time health monitoring, predictive analysis, and tailored therapies, which ultimately improve patient care and lower healthcare expenses. Nonetheless, certain challenges like data security, vicious system integration, and ethics prevail. This paper focuses on the development of AI IoT in medicine, available solutions, and prospective advancements to create an effective and cheap medical environment. |
| Keywords: | AI, IoT, Healthcare, Predictive Chronic |
| Cite Article: | "AI-DRIVEN IOT FOR PREDICTIVE HEALTHCARE: LITERATURE STUDY", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b712-b717, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504189.pdf |
| Downloads: | 000359 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2504189
Registration ID:202145
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b712-b717 Country: Bengaluru, Karnataka, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504189 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504189 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||