UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 3
March-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2503139


Registration ID:
556428

Page Number

b352-b360

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Title

DIAGNOSIS OF LIVER DISEASE BY DEEP LEARNING AND MACHINE LEARNING TECHNOLOGY

Abstract

The liver is the biggest organ in the human body. It is answerable for all metabolic capabilities inside the body from the change of supplements inside the eating routine into usable body substances to putting away these substances and afterward providing them to the cells when required. It is additionally answerable for the change of poisonous substances into innocuous substances. Other indispensable elements of the liver incorporate bile creation,protein creation, putting away and delivering glucose, handling hemoglobin, blood cleaning, resistant factor creation, clearing bilirubin, and so on. In this way, it is the essential and most vital body organ, and the upkeep of its wellbeing is fundamental for worked on by and large wellbeing. Yet, the truth of the matter is that individuals for the most part ignore it on account of wellbeing. Because of undesirable way of life schedules, the vast majority of the populace across the globe. Globe are experiencing intense to serious liver issues. Liver illnesses include: • Viral diseases, e.g., hepatitis A, hepatitis B, and hepatitis C, • Safe framework issues, e.g., immune system hepatitis, essential biliary cholangitis, essential sclerosing cholangitis, • Illnesses caused because of medications, toxic substances, or high liquor utilization, e.g., greasy liver sickness, non-alcoholic greasy liver infection (NAFLD), non-alcoholic steatohepatitis (NASH) and,cirrhosis . • Acquired sicknesses, e.g., hemochromatosis, hyperoxaluria, alpha-1 antitrypsin inadequacy, and • Malignant growth and growth, e.g., Liver Disease, bile pipe disease, and liver cell adenoma. The counteraction of liver disappointment is conceivable by diagnosing and treating liver illnesses at a beginning phase. There are four phases of liver sickness, among which the main stage is set apart by aggravation, which might show any side effects in patients. Delayed aggravation replaces the sound liver tissue with the scar tissue, which makes the illness enter in the subsequent stage, i.e., fibrosis, which is additionally for the most part asymptomatic. Extreme scarring on the liver causes cirrhosis, which is the third stage. In this stage, the patient begins to encounter side effects like stomach torment, weariness, shortcoming, jaundice, and so forth.

Key Words

Liver Diseases, Machine Learning, Data Mining, Deep Learning

Cite This Article

"DIAGNOSIS OF LIVER DISEASE BY DEEP LEARNING AND MACHINE LEARNING TECHNOLOGY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.b352-b360, March-2025, Available :http://www.jetir.org/papers/JETIR2503139.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"DIAGNOSIS OF LIVER DISEASE BY DEEP LEARNING AND MACHINE LEARNING TECHNOLOGY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppb352-b360, March-2025, Available at : http://www.jetir.org/papers/JETIR2503139.pdf

Publication Details

Published Paper ID: JETIR2503139
Registration ID: 556428
Published In: Volume 12 | Issue 3 | Year March-2025
DOI (Digital Object Identifier):
Page No: b352-b360
Country: DELHI, DELHI, India .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


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