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 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/. Creator An entity primarily responsible for making the resource Bose, Nadashree; Joshi, Hemlata Title A name given to the resource Optimizing Healthcare Analytics: A Zero-Inflated Poisson Approach toPediatric Emergency Room Visits 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 Lecture Notes in Networks and Systems;Volume;1231 LNNS;pp.138-148 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-78946-5_13" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-78946-5_13</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105007131783?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105007131783?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 Bose N., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bengaluru, India; Joshi H., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource In various fields, the modeling of count data holds significant importance. The Poisson regression model is a commonly utilized tool for this purpose. However, this model assumes that the data has uniform dispersion, a condition often not met in real-world observations. The nature of overdispersion canvary depending on the specific context. When the overdispersion is primarily dueto an excessive number of zero counts, the Zero-inflated Poisson regressionmodel becomes a more suitable choice for modeling count data. The paper commencesby offering a summary of the theoretical foundations of both Poisson regressionand Zero-inflated Poisson regression. To evaluate their performance, usethe Mean-Squared error (MSE) as a comparative metric. Next, apply these modelsto analyze the frequency of hospital emergency room visits by children between 1018 years of age. The overdispersion of the visit count in our dataset is mostly caused by the excessive occurrence of zero counts. The findings demonstratethat the Zero-inflated Poisson regression model outperforms the standard Poisson regression model in terms of MSE. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Subject The topic of the resource Count data; Emergency room visit; Excess of zeroes; Mean-Squared error; Poisson model; Zero-inflated Poisson model Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-303178945-8; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online