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Title: :  Enhancing Liver Disease Diagnosis: Ensemble Techniques for Predictive Modeling and Diagnostic Strategies
PaperId: :  22083
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 4 2023
DUI:    16.0415/IJARIIE-22083
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dr. Bhavesh M. PatelDepartment of Computer Science, H.N.G.University
Sirajbhai Abbasbhai NagalparaDepartment of Computer Science, H.N.G.University

Abstract

Computer Science
liver disease, Ensemble model, Data Mining, Classification Techniques
Hepatitis C is a liver illness caused by a virus that is transferred by contact with contaminated blood, most commonly through drug use and needle sharing. It can result in chronic infection, leading to serious health issues like cirrhosis and liver cancer. Symptoms may not be apparent until the disease has progressed. Prevention involves avoiding behaviors that can spread the virus, and testing is essential as treatments can cure most cases within a few months. The objective is to leverage this data to predict liver disease in patients, providing significant benefits to both medical practitioners and individuals affected by the disease. Machine learning methods are employed due to the extensive amount of data available, enabling the utilization of past data to forecast future cases. To address this, the study proposes a performance optimization strategy that considers the training data and the variables that have a significant impact on the predictive model. Logistic Regression, SVM, KNN, Random Forest, Nave Bayes, and Stacking ensemble techniques are used to train the upgraded preprocessed data. Comparative analysis is conducted on the six models and against other research models. The novel model employing stacking classifier and surpasses others, achieving remarkable testing accuracy of 96%. This showcases our approach as a practical solution for real-world liver disease detection.

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IJARIIE Dr. Bhavesh M. Patel, and Sirajbhai Abbasbhai Nagalpara. "Enhancing Liver Disease Diagnosis: Ensemble Techniques for Predictive Modeling and Diagnostic Strategies" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 4 2023 Page 3507-3515
MLA Dr. Bhavesh M. Patel, and Sirajbhai Abbasbhai Nagalpara. "Enhancing Liver Disease Diagnosis: Ensemble Techniques for Predictive Modeling and Diagnostic Strategies." International Journal Of Advance Research And Innovative Ideas In Education 9.4(2023) : 3507-3515.
APA Dr. Bhavesh M. Patel, & Sirajbhai Abbasbhai Nagalpara. (2023). Enhancing Liver Disease Diagnosis: Ensemble Techniques for Predictive Modeling and Diagnostic Strategies. International Journal Of Advance Research And Innovative Ideas In Education, 9(4), 3507-3515.
Chicago Dr. Bhavesh M. Patel, and Sirajbhai Abbasbhai Nagalpara. "Enhancing Liver Disease Diagnosis: Ensemble Techniques for Predictive Modeling and Diagnostic Strategies." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 4 (2023) : 3507-3515.
Oxford Dr. Bhavesh M. Patel, and Sirajbhai Abbasbhai Nagalpara. 'Enhancing Liver Disease Diagnosis: Ensemble Techniques for Predictive Modeling and Diagnostic Strategies', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, 2023, p. 3507-3515. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Enhancing_Liver_Disease_Diagnosis__Ensemble_Techniques_for_Predictive_Modeling_and_Diagnostic_Strategies_ijariie22083.pdf (Accessed : 31 March 2026).
Harvard Dr. Bhavesh M. Patel, and Sirajbhai Abbasbhai Nagalpara. (2023) 'Enhancing Liver Disease Diagnosis: Ensemble Techniques for Predictive Modeling and Diagnostic Strategies', International Journal Of Advance Research And Innovative Ideas In Education, 9(4), pp. 3507-3515IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Enhancing_Liver_Disease_Diagnosis__Ensemble_Techniques_for_Predictive_Modeling_and_Diagnostic_Strategies_ijariie22083.pdf (Accessed : 31 March 2026)
IEEE Dr. Bhavesh M. Patel, and Sirajbhai Abbasbhai Nagalpara, "Enhancing Liver Disease Diagnosis: Ensemble Techniques for Predictive Modeling and Diagnostic Strategies," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, pp. 3507-3515, Jul-Aug 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Enhancing_Liver_Disease_Diagnosis__Ensemble_Techniques_for_Predictive_Modeling_and_Diagnostic_Strategies_ijariie22083.pdf [Accessed : 31 March 2026].
Turabian Dr. Bhavesh M. Patel, and Sirajbhai Abbasbhai Nagalpara. "Enhancing Liver Disease Diagnosis: Ensemble Techniques for Predictive Modeling and Diagnostic Strategies." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 4 (31 March 2026).
Vancouver Dr. Bhavesh M. Patel, and Sirajbhai Abbasbhai Nagalpara. Enhancing Liver Disease Diagnosis: Ensemble Techniques for Predictive Modeling and Diagnostic Strategies. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 31 March 2026]; 9(4) : 3507-3515. Available from: https://ijariie.com/AdminUploadPdf/Enhancing_Liver_Disease_Diagnosis__Ensemble_Techniques_for_Predictive_Modeling_and_Diagnostic_Strategies_ijariie22083.pdf
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