Name: Natural Language Processing in Biomedicine: A Practical Guide (en Inglés)
Price: 351748.00 COP
Availability: InStock
Author: Xu, Hua ; Demner Fushman, Dina
ISBN: 9783031558641

portada Natural Language Processing in Biomedicine: A Practical Guide (en Inglés)

Natural Language Processing in Biomedicine: A Practical Guide (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Xu, Hua ; Demner Fushman, Dina

Idioma

Inglés

N° páginas

444

Encuadernación

Tapa Dura

ISBN13

9783031558641

Categorías

Cognición y psicología cognitiva
Bioinformática médica

Natural Language Processing in Biomedicine: A Practical Guide (en Inglés)

Xu, Hua ; Demner Fushman, Dina (Autor) · Springer · Tapa Dura

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Reseña del libro "Natural Language Processing in Biomedicine: A Practical Guide (en Inglés)"

This textbook covers broad topics within the application of natural language processing (NLP) in biomedicine, and provides in-depth review of the NLP solutions that reveal information embedded in biomedical text. The need for biomedical NLP research and development has grown rapidly in the past two decades as an important field in cognitive informatics. Natural Language Processing in Biomedicine: A Practical Guide introduces the history of the biomedical NLP field and takes the reader through the basic aspects of NLP including different levels of linguistic information and widely used machine learning and deep learning algorithms. The book details common biomedical NLP tasks, such as named entity recognition, concept normalization, relation extraction, text classification, information retrieval, and question answering. The book illustrates the tasks with real-life use cases and introduces real-world datasets, novel machine learning and deep learning algorithms, and large language models. Relevant resources for corpora and medical terminologies are also introduced. The final chapters are devoted to discussing applications of biomedical NLP in healthcare and life sciences. This textbook therefore represents essential reading for students in biomedical informatics programs, as well as for professionals who are conducting research or building biomedical NLP systems.