LIVER PATIENT ANALYSIS & PREDICTION

LIVER PATIENT ANALYSIS & PREDICTION

Registration ID: IJNRD_216344

Published ID: IJNRD2403541

DOI: Click Here to Get

K NAGASAI , P. VISHNU VARDHAN , K. VISHNU , M.ISMAIL ZABIULLA , B. DINESH REDDY

Liver disease, Machine learning, Prediction, Healthcare analytics, Risk factors, Patient outcomes, Classification algorithms, Feature selection, Data preprocessing, Healthcare informatics

    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.

Published Paper   E-Certificate

"LIVER PATIENT ANALYSIS & PREDICTION", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.f363-f368, March-2024, Available :https://ijnrd.org/papers/IJNRD2403541.pdf

Volume 9 Issue 3, March-2024

Pages : f363-f368

Paper Reg. ID: IJNRD_216344

Published Paper Id: IJNRD2403541

Downloads: 000121160

Research Area: Computer Science & Technology 

Country: ANANTAPUR, ANDHRA PRADESH, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403541.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403541

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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