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Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability
可解释的人工智能在医疗保健和医学:建立透明和问责的文化
ISBN
9783030533540作者Author
Shaban-Nejad, Arash出版社Publisher
Springer出版时间Published
2021-11产品分类SIC
01020K0703-一般工业技术装帧Format
平装语种Language
英文页数Page
368开本Size
20开数量Qty
内容简介Description
作者简介About Author
编辑推荐 | Editors' Choice
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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