Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
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
Buckeridge, David L.
Michalowski, Martin

Hardcover

Series: Studies in Computational Intelligence, Book 914

Technology & EngineeringGeneral Computers

ISBN10: 3030533514
ISBN13: 9783030533519
Publisher: Springer Nature
Published: Nov 3 2020
Pages: 344
Weight: 1.52
Height: 0.81 Width: 6.14 Depth: 9.21
Language: 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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