中华商务全球图书采选平台SinoVIP Global Book Services
在线询价Online Enquiry
订单跟踪Order Tracking
登录Sign In
/
注册Sign Up
我的单据My Lists
帮助中心Help & Services
首页/Home>书目采选/Bibliographic selection>书籍详情/Book Detail:Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability>
Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability
Shaban-Nejad, Arash

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
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.