03746nam a22004935i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001600153072001600169072001700185072002300202072001500225072001600240245013700256250001800393264007200411300006600483336002600549337002600575338003600601347002400637490006200661505062000723520119601343650001702539650002602556650004102582650005102623700007602674700007502750700007502825700007602900710003402976773002603010776003603036776003603072776003603108830006203144856004603206978-981-97-3962-2DE-He21320251030112938.0cr nn 008mamaa240904s2024    si |    s    |||| 0|eng d  a97898197396227 a10.1007/978-981-97-3962-22doi 4aQA76.9.D343 7aUNF2bicssc 7aUYQE2bicssc 7aCOM0210302bisacsh 7aUNF2thema 7aUYQE2thema10aText Mining Approaches for Biomedical Datah[electronic resource] /cedited by Aditi Sharan, Nidhi Malik, Hazra Imran, Indira Ghosh.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXV, 440 p. 166 illus., 123 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aTransactions on Computer Systems and Networks,x2730-74920 aBiomedical Data Types, Sources, Content and Retrieval -- Information Analysis using Biomedical text mining -- Connection and Curation of Corpus (Labeled and Unlabeled) -- Biomedical Data Visualization -- Biomedical Text data visualization -- Role of Ontology in Biomedical text mining -- Ontology in Text mining and matching -- Fundamentals of Vector-Based Text Representation and Word Embeddings -- Transformer-based Models for Text Representation and Processing -- Information Retrieval and Query Expansion for Biomedical Data -- Advances in Biomedical Entity and Relation Extraction: Techniques and Applications.  aThe book 'Text Mining Approaches for Biomedical Data' delves into the fascinating realm of text mining in healthcare. It provides an in-depth understanding of how Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing healthcare research and patient care. The book covers a wide range of topics such as mining textual data in biomedical and health databases, analyzing literature and clinical trials, and demonstrating various applications of text mining in healthcare. This book is a guide for effectively representing textual data using vectors, knowledge graphs, and other advanced techniques. It covers various text mining applications, building descriptive and predictive models, and evaluating them. Additionally, it includes building machine learning models using textual data, covering statistical and deep learning approaches. This book is designed to be a valuable reference for computer science professionals, researchers in the biomedical field, and clinicians. It provides practical guidance and promotes collaboration between different disciplines. Therefore, it is a must-read for anyone who is interested in the intersection of text mining and healthcare. 0aData mining. 0aApplication software.14aData Mining and Knowledge Discovery.24aComputer and Information Systems Applications.1 aSharan, Aditi.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aMalik, Nidhi.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aImran, Hazra.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aGhosh, Indira.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981973961508iPrinted edition:z978981973963908iPrinted edition:z9789819739646 0aTransactions on Computer Systems and Networks,x2730-749240uhttps://doi.org/10.1007/978-981-97-3962-2