Interpretable Cognitive Internet of Things for Healthcare [electronic resource] / edited by Utku Kose, Deepak Gupta, Ashish Khanna, Joel J. P. C. Rodrigues.

9783031086373

1st ed. 2023.

Cham : Springer International Publishing : Imprint: Springer, 2023.

1 online resource (XIV, 193 p.) 113 illus., 105 illus. in color.

Access is available to the Yale community.

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This book presents research on how interpretable cognitive IoT can work to help with the massive amount of data in the healthcare industry. The authors give importance to IoT systems with intense machine learning features; this ensures the scope corresponds to use of cognitive IoT for understanding, reasoning, and learning from medical data. The authors discuss the interpretability of an intelligent system and its trustworthiness as a smart tool in the context of massive healthcare applications. As a whole, book combines three important topics: massive data, cognitive IoT, and interpretability. Topics include health data analytics for cognitive IoT, usability evaluation of cognitive IoT for healthcare, interpretable cognitive IoT for health robotics, and wearables in the context of IoT for healthcare. The book acts as a useful reference work for a wide audience including academicians, scientists, students, and professionals. Presents research and application of cognitive interpretable data for healthcare; Includes both positive outcomes and negative results of ongoing research into IoT and healthcare; Encourages readers to submit their data or open source software, to create a repository for ongoing study.

Springer ENIN.

Books / Online

English

July 07, 2023