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Multimodal AI in Healthcare

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Cover of 'Multimodal AI in Healthcare'

Table of Contents

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    Book Overview
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    Chapter 1 Multimodal Artificial Intelligence: Next Wave of Innovation in Healthcare and Medicine
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    Chapter 2 Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge
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    Chapter 3 Domain-specific Language Pre-training for Dialogue Comprehension on Clinical Inquiry-Answering Conversations
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    Chapter 4 Clinical Dialogue Transcription Error Correction Using Seq2Seq Models
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    Chapter 5 Customized Training of Pretrained Language Models to Detect Post Intents in Online Health Support Groups
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    Chapter 6 EXPECT-NLP: An Integrated Pipeline and User Interface for Exploring Patient Preferences Directly from Patient-Generated Text
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    Chapter 7 Medication Error Detection Using Contextual Language Models
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    Chapter 8 Latent Representation Weights Learning of the Indefinite Length of Views for Conception Diagnosis
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    Chapter 9 Phenotyping with Positive Unlabelled Learning for Genome-Wide Association Studies
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    Chapter 10 Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation
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    Chapter 11 A Robust System to Detect and Explain Public Mask Wearing Behavior
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    Chapter 12 A Federated Cox Model with Non-proportional Hazards
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    Chapter 13 A Step Towards Automated Functional Assessment of Activities of Daily Living
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    Chapter 14 The Interpretation of Deep Learning Based Analysis of Medical Images—An Examination of Methodological and Practical Challenges Using Chest X-ray Data
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    Chapter 15 Predicting Drug Functions from Adverse Drug Reactions by Multi-label Deep Neural Network
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    Chapter 16 Pattern Discovery in Physiological Data with Byte Pair Encoding
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    Chapter 17 Predicting ICU Admissions for Hospitalized COVID-19 Patients with a Factor Graph-based Model
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    Chapter 18 Semantic Network Analysis of COVID-19 Vaccine Related Text from Reddit
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    Chapter 19 Towards Providing Clinical Insights on Long Covid from Twitter Data
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    Chapter 20 Predicting Infections in the Covid-19 Pandemic—Lessons Learned
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    Chapter 21 Improving Radiology Report Generation with Adaptive Attention
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    Chapter 22 Instantaneous Physiological Estimation Using Video Transformers
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    Chapter 23 Automated Vision-Based Wellness Analysis for Elderly Care Centers
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    Chapter 24 Efficient Extraction of Pathologies from C-Spine Radiology Reports Using Multi-task Learning
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    Chapter 25 Benchmarking Uncertainty Quantification on Biosignal Classification Tasks Under Dataset Shift
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    Chapter 26 Mining Adverse Drug Reactions from Unstructured Mediums at Scale
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    Chapter 27 A Graph-based Imputation Method for Sparse Medical Records
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    Chapter 28 Using Nursing Notes to Predict Length of Stay in ICU for Critically Ill Patients
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    Chapter 29 Automatic Classification of Dementia Using Text and Speech Data
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    Chapter 30 Unified Tensor Network for Multimodal Dementia Detection
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Title
Multimodal AI in Healthcare
Published by
Springer International Publishing, January 2023
DOI 10.1007/978-3-031-14771-5
ISBNs
978-3-03-114770-8, 978-3-03-114771-5
Editors

Arash Shaban-Nejad, Martin Michalowski, Simone Bianco

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