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sharan text mining approaches biomedical data 2024

Type:: E-books
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Size:: 31.1 MB
Uploaded On:: Sept. 8, 2024, 10:07 a.m.
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Textbook in PDF format 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. Preface Acknowledgements Editors and Contributors Introduction Domain Knowledge in Text Mining and Biomedical Data Biomedical 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 Biomedical Ontology and Model Building 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 Tasks in Biomedical Text Mining Information Retrieval and Query Expansion for Biomedical Data Advances in Biomedical Entity and Relation Extraction: Techniques and Applications Deep Learning for Extracting Biomedical Entities from COVID-19 Dataset: A Case Study Multilabel Text Classification in Biomedical Domain Biomedical Document Clustering Knowledge Graph for Biomedical Text Mining Exploring Knowledge Graphs (KG): A Comprehensive Overview Building Knowledge Graphs in the Biomedical Domain: Methods and Case Studies Applications of Biomedical Text Mining Text Mining for Telemedicine Text Mining for Recommendation Systems/Expert Systems in Health Domain Agent-Based Modeling and Simulation, with Emphasis on Healthcare Data Ethical Issues in Biomedical Text Mining

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sharan text mining approaches biomedical data 2024

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