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Artificial Intelligence in Medicine

Overview of attention for book
Cover of 'Artificial Intelligence in Medicine'

Table of Contents

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    Book Overview
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    Chapter 1 Survival Hierarchical Agglomerative Clustering: A Semi-Supervised Clustering Method Incorporating Survival Data
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    Chapter 2 Boosted Random Forests for Predicting Treatment Failure of Chemotherapy Regimens
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    Chapter 3 A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis
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    Chapter 4 Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening Based on the UK Primary Care Data
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    Chapter 5 Causal Discovery with Missing Data in a Multicentric Clinical Study
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    Chapter 6 Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists
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    Chapter 7 Patient Event Sequences for Predicting Hospitalization Length of Stay
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    Chapter 8 Autoencoder-Based Prediction of ICU Clinical Codes
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    Chapter 9 Hospital Length of Stay Prediction Based on Multi-modal Data Towards Trustworthy Human-AI Collaboration in Radiomics
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    Chapter 10 Explainable Artificial Intelligence for Cytological Image Analysis
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    Chapter 11 Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction
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    Chapter 12 Explainable AI for Medical Event Prediction for Heart Failure Patients
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    Chapter 13 Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection
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    Chapter 14 Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare
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    Chapter 15 Batch Integrated Gradients: Explanations for Temporal Electronic Health Records
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    Chapter 16 Improving Stroke Trace Classification Explainability Through Counterexamples
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    Chapter 17 Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission
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    Chapter 18 Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis
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    Chapter 19 A Rule-Free Approach for Cardiological Registry Filling from Italian Clinical Notes with Question Answering Transformers
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    Chapter 20 Classification of Fall Types in Parkinson's Disease from Self-report Data Using Natural Language Processing
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    Chapter 21 BERT for Complex Systematic Review Screening to Support the Future of Medical Research
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    Chapter 22 GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text
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    Chapter 23 Soft-Prompt Tuning to Predict Lung Cancer Using Primary Care Free-Text Dutch Medical Notes
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    Chapter 24 Machine Learning Models for Automatic Gene Ontology Annotation of Biological Texts
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    Chapter 25 A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images
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    Chapter 26 Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Hæmodynamics? An in silico Study
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    Chapter 27 COVID-19 Diagnosis in 3D Chest CT Scans with Attention-Based Models
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    Chapter 28 Generalized Deep Learning-Based Proximal Gradient Descent for MR Reconstruction
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    Chapter 29 Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students
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    Chapter 30 Automatic Sleep Stage Classification on EEG Signals Using Time-Frequency Representation
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    Chapter 31 Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies
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    Chapter 32 Discriminant Audio Properties in Deep Learning Based Respiratory Insufficiency Detection in Brazilian Portuguese
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    Chapter 33 ECGAN: Self-supervised Generative Adversarial Network for Electrocardiography
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    Chapter 34 Nation-Wide ePrescription Data Reveals Landscape of Physicians and Their Drug Prescribing Patterns in Slovenia
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    Chapter 35 Machine Learning Based Prediction of Incident Cases of Crohn’s Disease Using Electronic Health Records from a Large Integrated Health System
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    Chapter 36 Prognostic Prediction of Pediatric DHF in Two Hospitals in Thailand
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    Chapter 37 The Impact of Bias on Drift Detection in AI Health Software
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    Chapter 38 A Topological Data Analysis Framework for Computational Phenotyping
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    Chapter 39 Ranking of Survival-Related Gene Sets Through Integration of Single-Sample Gene Set Enrichment and Survival Analysis
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    Chapter 40 Supporting the Prediction of AKI Evolution Through Interval-Based Approximate Predictive Functional Dependencies
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    Chapter 41 Integrating Ontological Knowledge with Probability Data to Aid Diagnosis in Radiology
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    Chapter 42 Ontology Model for Supporting Process Mining on Healthcare-Related Data
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    Chapter 43 Real-World Evidence Inclusion in Guideline-Based Clinical Decision Support Systems: Breast Cancer Use Case
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    Chapter 44 Decentralized Web-Based Clinical Decision Support Using Semantic GLEAN Workflows
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    Chapter 45 An Interactive Dashboard for Patient Monitoring and Management: A Support Tool to the Continuity of Care Centre
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    Chapter 46 A General-Purpose AI Assistant Embedded in an Open-Source Radiology Information System
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    Chapter 47 Management of Patient and Physician Preferences and Explanations for Participatory Evaluation of Treatment with an Ethical Seal
Attention for Chapter 20: Classification of Fall Types in Parkinson's Disease from Self-report Data Using Natural Language Processing
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Chapter title
Classification of Fall Types in Parkinson's Disease from Self-report Data Using Natural Language Processing
Chapter number 20
Book title
Artificial Intelligence in Medicine
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-34344-5_20
Book ISBNs
978-3-03-134343-8, 978-3-03-134344-5

Powell, Jeanne M., Guo, Yuting, Sarker, Abeed, McKay, J. Lucas

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The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%