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Call for Papers:Vol.11 Issue.3

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Title: :  LIVER DISEASE PREDICTION USING MACHINE LEARNING
PaperId: :  19327
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19327
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
E Snayan YadavBV Raju Institute of Technology
Sanhitha BachepalliBV Raju Institute of Technology
Krishna PrasannaBV Raju Institute of Technology

Abstract

Information Technology
: Liver Disease, SVM, Logistic Regression
Liver diseases are becoming one of the most fatal diseases in several countries. Patients with Liver disease have been continuously increasing because of excessive consumption of alcohol, inhale of harmful gases, intake of contaminated food, pickles and drugs. The risk of liver disease was predicted using various machine learning algorithms. The final output is predicted based on the most accurate machine learning algorithm. Based on the accurate model we designed a system which asks a person to enter the details of his/her blood test report. Then the system uses the most accurate model which is trained to predict, whether a person has risk of liver disease or not. The programming language which was used is python and machine learning Sklearn was used to build the model using classification algorithms like Logical regression, SVM.

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IJARIIE E Snayan Yadav, Sanhitha Bachepalli, and Krishna Prasanna. "LIVER DISEASE PREDICTION USING MACHINE LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 65-69
MLA E Snayan Yadav, Sanhitha Bachepalli, and Krishna Prasanna. "LIVER DISEASE PREDICTION USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 65-69.
APA E Snayan Yadav, Sanhitha Bachepalli, & Krishna Prasanna. (2023). LIVER DISEASE PREDICTION USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 65-69.
Chicago E Snayan Yadav, Sanhitha Bachepalli, and Krishna Prasanna. "LIVER DISEASE PREDICTION USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 65-69.
Oxford E Snayan Yadav, Sanhitha Bachepalli, and Krishna Prasanna. 'LIVER DISEASE PREDICTION USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 65-69. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/LIVER_DISEASE_PREDICTION_USING__MACHINE_LEARNING_ijariie19327.pdf (Accessed : 29 April 2025).
Harvard E Snayan Yadav, Sanhitha Bachepalli, and Krishna Prasanna. (2023) 'LIVER DISEASE PREDICTION USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 65-69IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/LIVER_DISEASE_PREDICTION_USING__MACHINE_LEARNING_ijariie19327.pdf (Accessed : 29 April 2025)
IEEE E Snayan Yadav, Sanhitha Bachepalli, and Krishna Prasanna, "LIVER DISEASE PREDICTION USING MACHINE LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 65-69, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/LIVER_DISEASE_PREDICTION_USING__MACHINE_LEARNING_ijariie19327.pdf [Accessed : 29 April 2025].
Turabian E Snayan Yadav, Sanhitha Bachepalli, and Krishna Prasanna. "LIVER DISEASE PREDICTION USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 (29 April 2025).
Vancouver E Snayan Yadav, Sanhitha Bachepalli, and Krishna Prasanna. LIVER DISEASE PREDICTION USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 29 April 2025]; 9(2) : 65-69. Available from: https://ijariie.com/AdminUploadPdf/LIVER_DISEASE_PREDICTION_USING__MACHINE_LEARNING_ijariie19327.pdf
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