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 Jha, Chhavi; Sharma, Vandana; Singh, Vaishnavi; Aditi; Mishra, Sushruta; Alkhyyat, Ahmed Title A name given to the resource A Smartphone Based Robust Model for Intelligent Prediction of Thyroid Disease 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;1389 LNNS;pp.33-42 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-6066-7_3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-6066-7_3</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105014330473?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014330473?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 Jha C., Kalinga Institute of Industrial Technology, Bhubaneswar, India; Sharma V., Computer Science Department, CHRIST University, Bengaluru, India; Singh V., Kalinga Institute of Industrial Technology, Bhubaneswar, India; Aditi, St. Andrews Institute of Technology and Management, Delhi, India; Mishra S., Kalinga Institute of Industrial Technology, Bhubaneswar, India; Alkhyyat A., College of Technical Engineering, The Islamic University, Najaf, Iraq Description An account of the resource The thyroid is an integral organ that exerts vital functionality in regulating the bodys functionality in many different ways. Intelligent thyroid disease prediction is very crucial. Through this paper we will describe a smartphone model for predicting whether a patient has thyroid disease based on certain attributes whose values are given by the user. Here, a profound machine learning algorithm named Random Forest will help us predict thyroid disease. By exercising Random Forest within a mobile application, the users can learn about any potential thyroid disease disorder and thus seek medical help in time. This will help improve both the patients and the medical providers quality of care and the help received. With the integration of the Random Forest algorithm along with the mobile application it will prove to be a vital tool which will help everyone in the healthcare fraternity because of its availability and accessibility. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Healthcare; Machine learning; Mobile application; Random forest algorithm; Thyroid disease Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981966065-0; 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