Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability (Hardcover) (ISBN-13: 9783030533519)

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.

Author: Arash Shaban-Nejad
ISBN-10: 3030533514
ISBN-13: 9783030533519
Publisher: Springer
Language: English
Published: 11/03/2020
Pages: 344
Format: Hardcover
Weight: 1.52lbs
Size: 9.21h x 6.14w x 0.81d