SepsAI Early Sepsis Detection Using Machine Learning on Physiological and Clinical Parameters

Explore the article titled SepsAI Early Sepsis Detection Using Machine Learning on Physiological and Clinical Parameters from IJIRT Volume 12, Issue 7. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

Authors

Publication Details

Journal
International Journal of Innovative Research in Technology
Published
2025-12-25
DOI
https://doi.org/10.64643/ijirtv12i7-189439-459
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

SepsAI Early Sepsis Detection Using Machine Learning on Physiological and Clinical Parameters

Pratik Shinde, Radhika Avhad, Komal Munde, Shravani Wayal et al.
International Journal of Innovative Research in Technology
Sepsis Diagnosis and Treatment
article

SepsAI Early Sepsis Detection Using Machine Learning on Physiological and Clinical Parameters

Pratik Shinde, Radhika Avhad, Komal Munde, Shravani Wayal, Ojas Sharma
article en

Abstract

Explore the article titled SepsAI Early Sepsis Detection Using Machine Learning on Physiological and Clinical Parameters from IJIRT Volume 12, Issue 7. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

International Journal of Innovative Research in TechnologyVol. 12(7)
Openalex Percentile: Top 29%
Sepsis Diagnosis and Treatment
DOIOpen Access PDFOpenAlex
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SepsAI Early Sepsis Detection Using Machine Learning on Physiological and Clinical Parameters — Pratik Shinde, Radhika Avhad, et al. · International Journal of Innovative Research in Technology (2025) | TGRS Research Map | TGRS