Advanced Liver Disorder Detection Using AI Techniques

  • Unique Paper ID: 202323
  • Volume: 12
  • Issue: 12
  • PageNo: 8641-8643
  • Abstract:
  • Liver disorders are a very huge global health concern that contributes significantly to chronic diseases and mortality all around the globe. Many conditions like liver cirrhosis, hepatitis, and fatty liver disease often develop silently and are detected only when they are already in advanced stages, making their early diagnosis challenging. Identifying liver-related issues early is important for effective treatment and prevention of severe complications The increase in availability of healthcare data and advancements in the field of A.I., data-driven techniques are now highly valuable in the medical diagnosis. The study focuses on finding the advanced liver disorders using suitable A.I. methods. Dataset contains clinical and biochemical parameters which are analysed using different M.L and deep learning models. The available dataset is pre-processed to handle any anomality like missing values. Steps like normalization, and data cleaning are done to ensure quality of data. Different classification models are developed and the data was evaluated under a consistent framework. The model’s performance is measured using an evaluation metrics to judge the accuracy and reliability of the predictions done by model. The results show that A.I. Techniques were successful to identify key indicators of any indicator of liver disorders and to improve their diagnostic. The study also highlighted the probable effectiveness of A.I. based systems in decision-support tools in healthcare for early detection of liver disease.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{202323,
        author = {Mohammad Adnan and Anuradha Misra},
        title = {Advanced Liver Disorder Detection Using AI Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {8641-8643},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202323},
        abstract = {Liver disorders are a very huge global health concern that contributes significantly to chronic diseases and mortality all around the globe. Many conditions like liver cirrhosis, hepatitis, and fatty liver disease often develop silently and are detected only when they are already in advanced stages, making their early diagnosis challenging. Identifying liver-related issues early is important for effective treatment and prevention of severe complications The increase in availability of healthcare data and advancements in the field of A.I., data-driven techniques are now highly valuable in the medical diagnosis. The study focuses on finding the advanced liver disorders using suitable A.I. methods. Dataset contains clinical and biochemical parameters which are analysed using different M.L and deep learning models. The available dataset is pre-processed to handle any anomality like missing values. Steps like normalization, and data cleaning are done to ensure quality of data. Different classification models are developed and the data was evaluated under a consistent framework. The model’s performance is measured using an evaluation metrics to judge the accuracy and reliability of the predictions done by model. The results show that A.I. Techniques were successful to identify key indicators of any indicator of liver disorders and to improve their diagnostic. The study also highlighted the probable effectiveness of A.I. based systems in decision-support tools in healthcare for early detection of liver disease.},
        keywords = {Liver Disorder Detection, Artificial Intelligence, Machine Learning, Healthcare Analytics, Disease Classification},
        month = {May},
        }

Cite This Article

Adnan, M., & Misra, A. (2026). Advanced Liver Disorder Detection Using AI Techniques. International Journal of Innovative Research in Technology (IJIRT), 12(12), 8641–8643.

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