Text Mining Approaches for Biomedical Data

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 cover...

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Detaylı Bibliyografya
Müşterek Yazar:	SpringerLink (Online service)
Diğer Yazarlar:	Sharan, Aditi (Editör), Malik, Nidhi (Editör), Imran, Hazra (Editör), Ghosh, Indira (Editör)
Materyal Türü:	Elektronik Ekitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edisyon:	1st ed. 2024.
Seri Bilgileri:	Transactions on Computer Systems and Networks,
Konular:	Data mining. Application software. Data Mining and Knowledge Discovery. Computer and Information Systems Applications.
Online Erişim:	https://doi.org/10.1007/978-981-97-3962-2
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

İçindekiler:

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
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.

Text Mining Approaches for Biomedical Data

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