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Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems


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International Edition


About the Book

KR4HC/ProHealth - Joint Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care.- A practical exercise on re-engineering clinical guideline models using different representation languages.- A method for goal-oriented guideline modeling in PROforma and ist preliminary evaluation.- Differential diagnosis of bacterial and viral meningitis using Dominance-Based Rough Set Approach.- Modelling ICU Patients to Improve Care Requirements and Outcome Prediction of Acute Respiratory Distress Syndrome: A Supervised Learning Approach.- Deep learning for haemodialysis time series classification.- TEAAM - Workshop on Transparent, Explainable and Affective AI in Medical Systems.- Towards Understanding ICU Treatments using Patient Health Trajectories.- An Explainable Approach of Inferring Potential Medication Effects from Social Media Data.- Exploring antimicrobial resistance prediction using post-hoc interpretable methods.- Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening.- A Computational Framework towards Medical Image Explanation.- A Computational Framework for Interpretable Anomaly Detection and Classification of Multivariate Time Series with Application to Human Gait Data Analysis.- Self-organizing maps using acoustic features for prediction of state change in bipolar disorder.- Explainable machine learning for modeling of early postoperative mortality in lung cancer.


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Product Details
  • ISBN-13: 9783030374457
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 175
  • Spine Width: 10 mm
  • Weight: 322 gr
  • ISBN-10: 3030374459
  • Publisher Date: 04 Jan 2020
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Aime 2019 International Workshops, Kr4hc/Prohealth and Teaam, Poznan, Poland, June 26-29, 2019, Revised Selected Papers
  • Width: 156 mm


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Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems
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