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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 All-Cause Mortality Prediction in T2D Patients
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    Chapter 2 Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions
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    Chapter 3 Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning
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    Chapter 4 SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation
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    Chapter 5 A Multi-task LSTM Framework for Improved Early Sepsis Prediction
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    Chapter 6 Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit Data
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    Chapter 7 Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT
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    Chapter 8 Ontology-Guided Data Augmentation for Medical Document Classification
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    Chapter 9 Divide to Better Classify
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    Chapter 10 Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes
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    Chapter 12 Drug-Drug Interaction Prediction on a Biomedical Literature Knowledge Graph
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    Chapter 13 AI Medical School Tutor: Modelling and Implementation
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    Chapter 14 Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks
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    Chapter 15 Development and Preliminary Evaluation of a Method for Passive, Privacy-Aware Home Care Monitoring Based on 2D LiDAR Data
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    Chapter 16 Innovative Method to Build Robust Prediction Models When Gold-Standard Outcomes Are Scarce
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    Chapter 17 Consensus Modeling: A Transfer Learning Approach for Small Health Systems
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    Chapter 18 An AI-Driven Predictive Modelling Framework to Analyze and Visualize Blood Product Transactional Data for Reducing Blood Products’ Discards
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    Chapter 19 Towards Assigning Diagnosis Codes Using Medication History
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    Chapter 20 Blockchain-Based Federated Learning in Medicine
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    Chapter 21 Forming Local Intersections of Projections for Classifying and Searching Histopathology Images
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    Chapter 22 Difficulty Translation in Histopathology Images
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    Chapter 23 Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images
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    Chapter 24 A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image
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    Chapter 25 A Dual-Layer Architecture for the Protection of Medical Devices from Anomalous Instructions
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    Chapter 26 Multi-view Clustering with mvReliefF for Parkinson’s Disease Patients Subgroup Detection
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    Chapter 27 Unsupervised Grammar Induction for Revealing the Internal Structure of Protein Sequence Motifs
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    Chapter 28 Multi-scale Temporal Memory for Clinical Event Time-Series Prediction
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    Chapter 29 HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive Population
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    Chapter 30 Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning
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    Chapter 31 Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical Events
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    Chapter 32 Sepsis Deterioration Prediction Using Channelled Long Short-Term Memory Networks
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    Chapter 33 Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate
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    Chapter 34 Medical Time-Series Data Generation Using Generative Adversarial Networks
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    Chapter 35 Acute Hypertensive Episodes Prediction
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    Chapter 36 Falls Prediction in Care Homes Using Mobile App Data Collection
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    Chapter 37 Transitive Sequential Pattern Mining for Discrete Clinical Data
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    Chapter 38 A Verified, Executable Formalism for Resilient and Pervasive Guideline-Based Decision Support for Patients
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    Chapter 39 A CIG Integration Framework to Provide Decision Support for Comorbid Conditions Using Transaction-Based Semantics and Temporal Planning
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    Chapter 40 Searching for Pneumothorax in Half a Million Chest X-Ray Images
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    Chapter 41 A New Local Radon Descriptor for Content-Based Image Search
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    Chapter 42 Analysis of Viability of TCGA and GTEx Gene Expression for Gleason Grade Identification
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    Chapter 43 Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets
Attention for Chapter 13: AI Medical School Tutor: Modelling and Implementation
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Chapter title
AI Medical School Tutor: Modelling and Implementation
Chapter number 13
Book title
Artificial Intelligence in Medicine
Published by
Springer, Cham, August 2020
DOI 10.1007/978-3-030-59137-3_13
Book ISBNs
978-3-03-059136-6, 978-3-03-059137-3
Authors

Shazia Afzal, Tejas Indulal Dhamecha, Paul Gagnon, Akash Nayak, Ayush Shah, Jan Carlstedt-Duke, Smriti Pathak, Sneha Mondal, Akshay Gugnani, Nabil Zary, Malolan Chetlur, Afzal, Shazia, Dhamecha, Tejas Indulal, Gagnon, Paul, Nayak, Akash, Shah, Ayush, Carlstedt-Duke, Jan, Pathak, Smriti, Mondal, Sneha, Gugnani, Akshay, Zary, Nabil, Chetlur, Malolan

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Professor > Associate Professor 4 17%
Student > Doctoral Student 3 13%
Professor 2 9%
Student > Master 2 9%
Other 2 9%
Unknown 6 26%
Readers by discipline Count As %
Computer Science 7 30%
Medicine and Dentistry 6 26%
Arts and Humanities 1 4%
Philosophy 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 6 26%

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