Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Sivabalaselvamani, D.; Rajasekaran, N.; Thiyagarajan, D.; Yasotha, S.; Pavithra, N.; Selvakarthi, D.; Hemalatha, S. Title A name given to the resource Implantable Chip Revolutionizing Early-Stage Liver Cancer Detection with Advanced Diagnosis System Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived International Research Journal of Multidisciplinary Technovation;Volume;7;Issue;6;pp.248-265 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.54392/irjmt25615" target="_blank" rel="noreferrer noopener">https://doi.org/10.54392/irjmt25615</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105025234971?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025234971?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sivabalaselvamani D., School of Information Science, Presidency University, Bengaluru, India; Rajasekaran N., Department of Computer Science, Christ (Deemed to be University), Bengaluru, India; Thiyagarajan D., Department of Computer Science and Engineering, Chennai Institute of Technology, Tamil Nadu, Chennai, India; Yasotha S., Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Tamil Nadu, Coimbatore, India; Pavithra N., Department of Information Technology, Jeppiaar Instithute of Technology, Kancheepuram, Tamil Nadu, Sunguvarchatram, India; Selvakarthi D., Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, Tamil Nadu, Perundurai, India; Hemalatha S., Department of Computer Applications, Kongu Engineering College, Erode, Tamil Nadu, Perundurai, India Description An account of the resource Millions of people die from cancer annually. Advanced metastatic cancers may not respond to traditional therapy. The importance for early diagnosis is highlighted by the difficulty of treating cancers in later stages. Enhancing patient outcomes using tissue-engineered cancer diagnosis and therapy is gaining popularity. Cancer and associated immune problems burden healthcare systems, making efficient, high-throughput drug development strategies essential. Thus, implanted chips may solve these issues. A revolutionary technique for early liver cancer identification is the Machine Learning-based Liver Cancer Diagnosis System (ML-LCDS). K-Nearest Neighbour (KNN) identifies liver tumors precisely in ML-LCDS. The performance evaluation reports sensitivity=97.2%, specificity=91.3%, precision=93.5%, FPR=8.7%, and accuracy=94.1%, computed from the confusion matrix derived through 10-fold cross-validation. Experimental findings validate its consistent performance, establishing ML-LCDS as an efficient and reliable diagnostic tool for early-stage liver cancer detection. The Author(s) 2025. The text of this article is open access and licensed under a Creative Commons Attribution 4.0 International License. Subject The topic of the resource Advanced Diagnosis System; Early-Stage Liver Cancer Detection; Healthcare Innovation; Implantable Chip; K-Nearest Neighbour (KNN) Algorithm; Machine Learning-Based Liver Cancer Diagnosis System (ML-LCDS) Publisher An entity responsible for making the resource available Asian Research Association Relation A related resource ISSN: 25821040; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online