Artificial Intelligence in Medicine

Table of Contents

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   Book Overview
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   Chapter 1 Explainable Decision Support Using Task Network Models in Notation3: Computerizing Lipid Management Clinical Guidelines as Interactive Task Networks
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   Chapter 2 Towards an AI Planning-Based Pipeline for the Management of Multimorbid Patients
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   Chapter 3 A Knowledge Graph Completion Method Applied to Literature-Based Discovery for Predicting Missing Links Targeting Cancer Drug Repurposing
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   Chapter 4 An Ontology to Support Automatic Drug Dose Titration
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   Chapter 5 Ontological Representation of Causal Relations for a Deep Understanding of Associations Between Variables in Epidemiology
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   Chapter 6 Explainable Clinical Decision Support: Towards Patient-Facing Explanations for Education and Long-Term Behavior Change
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   Chapter 7 Assessing Knee Osteoarthritis Severity and Biomechanical Changes After Total Knee Arthroplasty Using Self-organizing Maps
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   Chapter 8 NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization
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    Chapter 9 Extracting Surrogate Decision Trees from Black-Box Models to Explain the Temporal Importance of Clinical Features in Predicting Kidney Graft Survival
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    Chapter 10 Recurrence and Self-attention vs the Transformer for Time-Series Classification: A Comparative Study
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    Chapter 11 Integrating Graph Convolutional Networks (GCNNs) and Long Short-Term Memory (LSTM) for Efficient Diagnosis of Autism
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    Chapter 12 Hierarchical Deep Multi-task Learning for Classification of Patient Diagnoses
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    Chapter 13 TTS-GAN: A Transformer-Based Time-Series Generative Adversarial Network
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    Chapter 14 Instrumented Timed Up and Go Test Using Inertial Sensors from Consumer Wearable Devices
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    Chapter 15 Learning to Adapt Dynamic Clinical Event Sequences with Residual Mixture of Experts
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    Chapter 16 Improving Prediction Models’ Propriety in Intensive-Care Unit, by Enforcing an Advance Notice Period
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    Chapter 17 DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs
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    Chapter 18 EpidRLearn : Learning Intervention Strategies for Epidemics with Reinforcement Learning
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    Chapter 19 Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data
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    Chapter 20 Comparison of Classification with Reject Option Approaches on MIMIC-IV Dataset
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    Chapter 21 Predicting Waiting Time and Quality of Kidney Offers for Kidney Transplant Candidates
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    Chapter 22 Wrist Ultrasound Segmentation by Deep Learning
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    Chapter 23 Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning
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    Chapter 24 On Graph Construction for Classification of Clinical Trials Protocols Using Graph Neural Networks
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    Chapter 25 Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction
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    Chapter 26 Calibrating Histopathology Image Classifiers Using Label Smoothing
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    Chapter 27 InvUNET: Involuted UNET for Breast Tumor Segmentation from Ultrasound
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    Chapter 28 MRI Reconstruction with LassoNet and Compressed Sensing
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    Chapter 29 A 3-Window Framework for the Discovery and Interpretation of Predictive Temporal Functional Dependencies
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    Chapter 30 When Can I Expect the mHealth User to Return? Prediction Meets Time Series with Gaps
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    Chapter 31 The Transition Law of Sepsis Patients’ Illness States Based on Complex Network
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    Chapter 32 Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization
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    Chapter 33 Oblique Dipolar Tree for Survival Data with Time-Varying Covariates
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    Chapter 34 An Anytime Querying Algorithm for Predicting Cardiac Arrest in Children: Work-in-Progress
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    Chapter 35 A Novel Survival Analysis Approach to Predict the Need for Intubation in Intensive Care Units
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    Chapter 36 Awareness of Being Tested and Its Effect on Reading Behaviour
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    Chapter 37 Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study
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    Chapter 38 RuMedBench: A Russian Medical Language Understanding Benchmark
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    Chapter 39 Biomedical Semantic Textual Similarity: Evaluation of Sentence Representations Enhanced with Principal Component Reduction and Word Frequency Weighting
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    Chapter 40 Blockchain and IoT Enhanced Clinical Workflow
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    Chapter 41 The PERISCOPE Data Atlas: A Demonstration of Release v1.2
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    Chapter 42 Cordelia: An Application for Automatic ECG Diagnostics
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    Chapter 43 Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN
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    Chapter 44 A Goal-Oriented Methodology for Treatment of Patients with Multimorbidity - Goal Comorbidities (GoCom) Proof-of-Concept Demonstration
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    Chapter 45 Development of AI-Enabled Apps by Patients and Domain Experts Using the Punya Platform: A Case Study for Diabetes
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    Chapter 46 Using Visual Analytics to Optimize Blood Product Inventory at a Hospital’s Blood Transfusion Service