Gå direkte til innholdet
Text Mining Approaches for Biomedical Data
Text Mining Approaches for Biomedical Data
Spar

Text Mining Approaches for Biomedical Data

Engelsk
Les i Adobe DRM-kompatibelt e-bokleserDenne e-boka er kopibeskyttet med Adobe DRM som påvirker hvor du kan lese den. Les mer
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.
ISBN
9789819739622
Språk
Engelsk
Utgivelsesdato
3.9.2024
Tilgjengelige elektroniske format
  • Epub - Adobe DRM
Les e-boka her
  • E-bokleser i mobil/nettbrett
  • Lesebrett
  • Datamaskin