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Deep Learning Techniques for Biomedical and Health Informatics

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Table of Contents

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    Book Overview
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    Chapter 1 MedNLU: Natural Language Understander for Medical Texts
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    Chapter 2 Deep Learning Based Biomedical Named Entity Recognition Systems
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    Chapter 3 Disambiguation Model for Bio-Medical Named Entity Recognition
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    Chapter 4 Applications of Deep Learning in Healthcare and Biomedicine
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    Chapter 5 Deep Learning for Clinical Decision Support Systems: A Review from the Panorama of Smart Healthcare
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    Chapter 6 Review of Machine Learning and Deep Learning Based Recommender Systems for Health Informatics
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    Chapter 7 Deep Learning and Explainable AI in Healthcare Using EHR
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    Chapter 8 Deep Learning for Analysis of Electronic Health Records (EHR)
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    Chapter 9 Application of Deep Architecture in Bioinformatics
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    Chapter 10 Intelligent, Secure Big Health Data Management Using Deep Learning and Blockchain Technology: An Overview
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    Chapter 11 Malaria Disease Detection Using CNN Technique with SGD, RMSprop and ADAM Optimizers
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    Chapter 12 Deep Reinforcement Learning Based Personalized Health Recommendations
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    Chapter 13 Using Deep Learning Based Natural Language Processing Techniques for Clinical Decision-Making with EHRs
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    Chapter 14 Diabetes Detection Using ECG Signals: An Overview
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    Chapter 15 Deep Learning and the Future of Biomedical Image Analysis
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    Chapter 16 Automated Brain Tumor Segmentation in MRI Images Using Deep Learning: Overview, Challenges and Future
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Title
Deep Learning Techniques for Biomedical and Health Informatics
Published by
Springer International Publishing, March 2020
DOI 10.1007/978-3-030-33966-1
ISBNs
978-3-03-033965-4, 978-3-03-033966-1
Editors

Dash, Sujata, Acharya, Biswa Ranjan, Mittal, Mamta, Abraham, Ajith, Kelemen, Arpad

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