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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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) |
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| Paper Title: | ICU Patient Outcome Prediction |
| Authors Name: | Rahul Kumar , Sikandar Siddique , Neetu Bala |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_208658
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| Published Paper Id: | IJNRD2311138 |
| Published In: | Volume 8 Issue 11, November-2023 |
| DOI: | |
| Abstract: | In the dynamic landscape of intensive care medicine, the accurate prediction of patient outcomes stands as a paramount challenge. This research endeavors to unravel the intricate interplay of clinical data, with a particular emphasis on sepsis, in forecasting mortality within the confines of the Intensive Care Unit (ICU). Sepsis, an ominous clinical syndrome, serves as a focal point in our study due to its acute and often life-threatening nature. Through meticulous examination of comprehensive patient data, we illuminate the intricate patterns and signatures that portend its onset and progression. The quest for early sepsis detection and precise mortality prognostication has been a driving force behind this endeavor. Our research leverages an extensive dataset, meticulously collected and analyzed, containing a myriad of patient parameters encompassing vital signs, laboratory results, and clinical history. Employing advanced machine learning algorithms and statistical models, we embark on a profound exploration of this dataset, deciphering hidden correlations and unveiling predictive markers. The ultimate aim of this research is to provide clinicians with a robust predictive tool, empowering them to make timely and informed decisions. By harnessing the power of data-driven insights, we endeavor to refine the art of patient care within the ICU, offering a beacon of hope in the relentless battle against sepsis-related mortality. |
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| Cite Article: | "ICU Patient Outcome Prediction", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.b296-b300, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311138.pdf |
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| 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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Published Paper ID:IJNRD2311138 Registration ID: 208658 Published In: Volume 8 Issue 11, November-2023 DOI (Digital Object Identifier): Page No: b296-b300 Country: Ludhiana, Punjab, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2311138 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2311138 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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