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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
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21604
Article Published : 8531
Total Authors : 22438
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | PATIENT HEALTH MONITORING SYSTEM |
| Authors Name: | ANJANA S , GAYATHRI R , GIRIDHARAN P S , GUHAN P M , SASIKUMAR P |
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| Author Reg. ID: |
IJRTI_201853
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| Published Paper Id: | IJRTI2503218 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | |
| Abstract: | In today's fast-evolving world, staying ahead in healthcare is essential for early detection and management of health issues, enabling prompt decision making. However, due to busy schedules, visiting medical facilities is often not feasible, leading to delayed treatment and severe complications. The proposed machine learning based health monitoring system is an Android application designed to help users identify illnesses based on symptoms while facilitating communication with healthcare professionals. When users enter symptoms, the system applies machine learning and deep learning algorithms to diagnose illnesses accurately. It then provides a list of specialized doctors for consultation. Users can schedule appointments and seek medical advice via in app chat feature. This ensures accessible, efficient healthcare services, reducing hospital burdens. By integrating advanced technology, the system enhances patient convenience, improves healthcare accessibility and promotes proactive health management. |
| Keywords: | Random forest, Predicting the length of stay, Data analytics, Dashboard. |
| Cite Article: | "PATIENT HEALTH MONITORING SYSTEM ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.c99-c103, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503218.pdf |
| Downloads: | 000514 |
| 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 |
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Published Paper ID: IJRTI2503218
Registration ID:201853
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: c99-c103 Country: Salem, Tamil Nadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503218 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503218 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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