| Description |
1 online resource (1018 p.) |
| Series |
Studies in Health Technology and Informatics ; v.294 |
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Studies in health technology and informatics ; v. 294.
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| Contents |
Intro -- Title Page -- Preface -- About the Conference -- Contents -- Section I. Challenges of Trustable AI and Added-Value on Health -- Applying Machine Learning to Arsenic Species and Metallomics Profiles of Toenails to Evaluate Associations of Environmental Arsenic with Incident Cancer Cases -- User Satisfaction with an AI System for Chest X-Ray Analysis Implemented in a Hospital's Emergency Setting -- Scaling AI Projects for Radiology -- Causes and Consequences -- ECG Classification Using Combination of Linear and Non-Linear Features with Neural Network |
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Dataset Comparison Tool: Utility and Privacy -- AP-HP Health Data Space (AHDS) to the Test of the Covid-19 Pandemic -- MISeval: A Metric Library for Medical Image Segmentation Evaluation -- When Context Matters for Credible Measurement of Drug-Drug Interactions Based on Real-World Data -- A Lightweight and Interpretable Model to Classify Bundle Branch Blocks from ECG Signals -- Analysis of Stroke Assistance in Covid-19 Pandemic by Process Mining Techniques -- Automated Diagnosis of Autism Spectrum Disorder Condition Using Shape Based Features Extracted from Brainstem |
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Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals -- An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers -- Attitudes and Acceptance Towards Artificial Intelligence in Medical Care -- Can Artificial Intelligence Enable the Transition to Electric Ambulances? -- Using Machine Learning and Deep Learning Methods to Predict the Complexity of Breast Cancer Cases |
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Accelerating High-Dimensional Temporal Modelling Using Graphics Processing Units for Pharmacovigilance Signal Detection on Real-Life Data -- Analysis of Saturation in the Emergency Department: A Data-Driven Queuing Model Using Machine Learning -- Pretrained Neural Networks Accurately Identify Cancer Recurrence in Medical Record -- Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI -- Utilizing a Non-Motor Symptoms Questionnaire and Machine Learning to Differentiate Movement Disorders -- Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model |
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Machine Learning in Medicine: To Explain, or Not to Explain, That Is the Question -- Phenotyping of Heart Failure with Preserved Ejection Faction Using Health Electronic Records and Echocardiography -- Towards a Generic Description Schema for Clinical Decision Support Systems -- Applying Artificial Intelligence Privacy Technology in the Healthcare Domain -- Explainable Artificial Intelligence in Ambulatory Digital Dementia Screenings -- Behavioral Segmentation for Enhanced Peer-to-Peer Patient Education -- A Confidence Interval-Based Method for Classifier Re-Calibration |
| Notes |
Physiotherapists' Views on the Software Monitoring Application of a Wearable Assistive Glove |
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Online resource; title from PDF title page (IOS Press, viewed October 11, 2022) |
| Subject |
Medical informatics -- Congresses
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Medical care -- Information technology -- Congresses
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Public health -- Information services -- Congresses
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Electronic books.
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e-books.
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Electronic books
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Medical informatics
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Public health -- Information services
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| Genre/Form |
Conference papers and proceedings
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| Form |
Electronic book
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| Author |
Séroussi, Brigitte, 1958-, editor
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Weber, Patrick, Dr., editor.
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Dhombres, Ferdinand, editor
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Grouin, Cyril, 1978- editor
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Liebe, Jan-David, editor
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Pelayo, Sylvia, editor.
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Pinna, Andrea, editor.
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Rance, Bastien, editor.
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Sacchi, Lucia, editor.
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Ugon, Adrien, editor.
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Benis, Arriel, editor
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Gallos, Parisis, editor.
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| ISBN |
9781643682853 |
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1643682857 |
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