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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Applying Ensemble Techniques for the Prediction of Alcoholic Liver Cirrhosis Subject The topic of the resource Alcoholic liver disease; Ensemble classifier; Liver cirrhosis; Machine learning; Random forest; Stacked ensemble classifier; XGBoost Description An account of the resource More than fifty percent of all liver cognate deaths are caused by alcoholic liver disease (ALD). Excessive drinking over the time leads to alcohol-related steatohepatitis and fatty liver, this in turn can lead to alcoholic liver fibrosis (ALF) and in due course alcohol-related liver cirrhosis (ALC). Detecting ALD at an early stage will reduce the treatment cost to the patient and reduce mortality. In this research, a two-step model is developed for predicting the liver cirrhosis using different ensemble classifiers. Among 41 features recorded during data collection, only 15 features arefound to be effective determinants of the class variable. The proposed stacked ensemble technique for ALD prediction is compared with other ensemble models such as random forest, AdaBoost, and bagging. Through experimentation, it is observed that the proposed model with XGBoost and decision tree as base models and logistic regression as Meta model exhibits prediction accuracy of 93.86%. The prediction accuracy of theproposed stacked ensemble technique is 0.2% better in prediction accuracy and 0.3% reduced error rate in comparison with random forest classifier. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Vinutha M.R.; Chandrika J.; Krishnan B.; Kokatnoor S.A. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-462, pp. 433-445. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-2211-4_39" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-2211-4_39</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135054733&amp;doi=10.1007%2F978-981-19-2211-4_39&amp;partnerID=40&amp;md5=3d449fa1b83f044f9de0eb133ff157f9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135054733&amp;doi=10.1007%2f978-981-19-2211-4_39&amp;partnerID=40&amp;md5=3d449fa1b83f044f9de0eb133ff157f9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981192210-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vinutha M.R., Department of ISE, Malnad College of Engineering, Hassan, 573201, India; Chandrika J., Department of ISE, Malnad College of Engineering, Hassan, 573201, India; Krishnan B., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Kokatnoor S.A., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India