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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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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21686
Article Published : 8549
Total Authors : 22487
Total Reviewer : 811
Total Countries : 159
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| Paper Title: | ANTIMICROBIAL RESISTANCE IN PEDIATRICS: THE ROLE OF MACHINE LEARNING IN SURVEILLANCE, DIAGNOSIS, AND TREATMENT OPTIMIZATION |
| Authors Name: | FATHIMA RUMAIZA SM |
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IJRTI_204053
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| Published Paper Id: | IJRTI2505201 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | Antimicrobial resistance (AMR) in pediatrics poses a growing global health challenge, particularly in low- and middle-income countries. Children are uniquely vulnerable due to their developing immune systems, high rates of infectious diseases, and frequent exposure to antibiotics. This paper explores the current landscape of pediatric AMR and highlights how machine learning (ML) algorithms can enhance early diagnosis, optimize antibiotic prescribing, and improve surveillance. Specific ML approaches, including supervised, unsupervised, and deep learning models, are discussed in the context of pediatric healthcare. Integrating ML into antimicrobial stewardship and infection management strategies represents a promising avenue to curb the pediatric AMR crisis. |
| Keywords: | Antimicrobial resistance, pediatrics, machine learning, diagnosis, surveillance, antimicrobial stewardship, artificial intelligence. |
| Cite Article: | "ANTIMICROBIAL RESISTANCE IN PEDIATRICS: THE ROLE OF MACHINE LEARNING IN SURVEILLANCE, DIAGNOSIS, AND TREATMENT OPTIMIZATION", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c1-c4, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505201.pdf |
| Downloads: | 000401 |
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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: IJRTI2505201
Registration ID:204053
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: c1-c4 Country: ZAMIN PALLAVARAM, Tamil Nadu, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505201 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505201 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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