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Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability (in English)
Shaban-Nejad, Arash ; Michalowski, Martin ; Buckeridge, David L. (Author)
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Springer
· Paperback
Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability (in English) - Shaban-Nejad, Arash ; Michalowski, Martin ; Buckeridge, David L.
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Synopsis "Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability (in English)"
Explainability and Interpretability: Keys to Deep Medicine.- Fast Similar Patient Retrieval from Large Scale Healthcare Data: A Deep Learning-based Binary Hashing Approach.- A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs.- Machine learning discrimination of Parkinson's Disease stages from walk-er-mounted sensors data.- Personalized Dual-Hormone Control for Type 1 Diabetes Using Deep Rein-forcement Learning.- A Generalizable Method for Automated Quality Control of Functional Neuroimaging Datasets.- Uncertainty Characterization for Predictive Analytics with Clinical Time Series Data.- A Dynamic Deep Neural Network for Multimodal Clinical Data Analysis.- DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-rate Variability (HRV) Data.- A Deep Learning Approach for Classifying Nonalcoholic Steatohepatitis Pa-tients from Nonalcoholic Fatty Liver Disease Patients using Electronic Medical Records.
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The book is written in English.
The binding of this edition is Paperback.
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