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)
Abstract: The initiative uses deep learning to constantly identify deaths in the ICU. The ICU fatality rate is an important indicator of a hospital's quality of care, and it is suggested to use patient segmentation based on risk. The project's proposed methodology collects time sequence data and predicts hospital patients' mortality risk in real time. The algorithm works better, so clinicians can focus on high-risk patients and foresee issues, lowering ICU mortality. Model performance is measured by accuracy, F1-score, precision, and recall. Ensemble techniques like Voting and Stacking Classifiers were introduced. Voting Classifier accuracy was astounding 100%. We are designing a secure Flask-based front end with simplified testing and solid security to make it simple for users to access and anticipate ICU deaths.
Keywords:
deep learning; representation learning; mortality; risk prediction; critical care.
Cite Article:
"Use of Deep Learning for Continuous Prediction of Mortality for All Admissions in Intensive Care Unit", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.g142-g152, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403619.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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