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 Clinical Text Classification of Medical Transcriptions Based on Different Diseases Subject The topic of the resource Clinical text mining; Multiclass logistic regression; Natural language processing; scispaCy; Support vector classifier; TF-IDF vectorization; Transcriptions Description An account of the resource Clinical text classification is the process of extracting the information from clinical narratives. Clinical narratives are the voice files, notes taken during a lecture, or other spoken material given by physicians. Because of the rapid rise in data in the healthcare sector, text mining and information extraction (IE) have acquired a few applications in the previous few years. This research attempts to use machine learning algorithms to diagnose diseases from the given medical transcriptions. Proposed clinical text classification models could decrease human efforts of labeled training data creation and feature engineering and for designing for applying machine learning models to clinical text classification by leveraging weak supervision. The main aim of this paper is to compare the multiclass logistic regression model and support vector classifier model which is implemented for performing clinical text classification on medical transcriptions. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Sreekumar Y.; Nizar Banu P.K. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-853, pp. 613-623. 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/10.1007/978-981-16-9885-9_50" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9885-9_50</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127778525&amp;doi=10.1007%2F978-981-16-9885-9_50&amp;partnerID=40&amp;md5=e3ec137de2ed46c17d9fbe551896b445" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127778525&amp;doi=10.1007%2f978-981-16-9885-9_50&amp;partnerID=40&amp;md5=e3ec137de2ed46c17d9fbe551896b445</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981169884-2 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 Sreekumar Y., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Nizar Banu P.K., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India