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)
This study focuses on the analysis and prediction of liver patient outcomes using machine learning techniques. Leveraging a dataset comprising various liver health indicators and patient attributes, we applied state-of-the-art machine learning algorithms to analyze patterns, identify risk factors, and predict patient outcomes.
The research involved preprocessing the data, including handling missing values and normalization, followed by feature selection to identify the most relevant predictors.
Evaluation metrics such as accuracy, precision, recall, and F1-score were used to assess the performance of the models. The results indicate promising predictive capabilities, with the potential to assist healthcare professionals in early diagnosis, risk stratification, and personalized treatment strategies for liver patients.
"LIVER PATIENT ANALYSIS & PREDICTION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.f363-f368, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403541.pdf
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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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