Sharan / Malik / Imran / Ghosh

Text Mining Approaches for Biomedical Data

Springer Nature Singapore

ISBN 9789819739622

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auch verfügbar als Buch (Hardcover) für 213,99 €

Bibliografische Daten

eBook. PDF

2024

XV, 440 p. 166 illus., 123 illus. in color..

In englischer Sprache

Umfang: 440 S.

Verlag: Springer Nature Singapore

ISBN: 9789819739622

Weiterführende bibliografische Daten

auch verfügbar als Buch (Hardcover) für 213,99 €

Produktbeschreibung

The 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.

Autorinnen und Autoren

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Libri GmbH

Europaallee 1
36244 Bad Hersfeld, DE

gpsr@libri.de

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