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  Published Paper Details:

  Paper Title

PREDICTION OF LIVER CHRONIC DISEASE FOR HEALTH CARE SERVICES

  Authors

  J. Sridhar,  K. Rajitha,  K. Prathyusha,  P. Punith Varma,  V.Revanth

  Keywords

Liver Diagnostic, Machine Learning, Supervised Learning

  Abstract


Due to the quick rise in liver illness caused by excessive alcohol use, contaminated gas inhalation, drug use, tainted food, and pickled food packaging, a doctor can make an automatic forecast with the aid of a medical expert system. Early liver disease prediction is now attainable because to the consistent advancements in machine learning technology, allowing for simple early identification of the fatal condition. This will make healthcare more beneficial, and a medical expert system can be employed in a remote location. The liver is vital to life and promotes the body's ability to rid itself of poisons. Early detection of the condition is therefore crucial for recovery. For the diagnosis of liver illness, several machine learning methods, such as Random Forest, KNN, Logistic Regression, Decision Tree, etc., are utilised. These algorithms have varying degrees of accuracy, precision, and sensitivity.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2303961

  Paper ID - 233687

  Page Number(s) - i101-i106

  Pubished in - Volume 11 | Issue 3 | March 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  J. Sridhar,  K. Rajitha,  K. Prathyusha,  P. Punith Varma,  V.Revanth,   "PREDICTION OF LIVER CHRONIC DISEASE FOR HEALTH CARE SERVICES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 3, pp.i101-i106, March 2023, Available at :http://www.ijcrt.org/papers/IJCRT2303961.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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