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Integrating artificial intelligence ...

Comito, Carmela.

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Integrating artificial intelligence and IoT for advanced health informatics = AI in the healthcare sector /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Integrating artificial intelligence and IoT for advanced health informatics/ edited by Carmela Comito, Agostino Forestiero, Ester Zumpano.
Reminder of title:	AI in the healthcare sector /
other author:	Comito, Carmela.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xiv, 177 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Lower-Gait Tracking Application Using Smartphones and Tablets -- 2. One-class classification approach in accelerometer based remote monitoring of physical activities for healthcare applications -- 3. Detecting and monitoring behavioural patterns in individuals with cognitive disorders in the home environment with partial annotations -- 4. Towards On-device Weight Monitoring from Selfie Face Images Using Smartphones -- 5. Convergence between IoT and AI for Smart Health and Predictive Medicine -- 6. An Artificial Intelligence and Internet of Things Platform for Healthcare and Industrial Applications -- 7. Methods in Digital Mental Health: Smartphone-based Assessment and Intervention for Stress, Anxiety and Depression -- 8. AI for the detection of the Diabetic Retinopathy -- 9. Enhancing EEG-based Emotion Recognition with Fast Online Instance Transfer -- 10. Using Association Rules to mine Actionable Knowledge from Internet of Medical Thinks data.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Medical applications. -
Online resource:	https://doi.org/10.1007/978-3-030-91181-2
ISBN:	9783030911812

Integrating artificial intelligence and IoT for advanced health informatics = AI in the healthcare sector /
Integrating artificial intelligence and IoT for advanced health informaticsAI in the healthcare sector /[electronic resource] :edited by Carmela Comito, Agostino Forestiero, Ester Zumpano. - Cham :Springer International Publishing :2022. - xiv, 177 p. :ill., digital ;24 cm. - Internet of things,2199-1081. - Internet of things..

1. Lower-Gait Tracking Application Using Smartphones and Tablets -- 2. One-class classification approach in accelerometer based remote monitoring of physical activities for healthcare applications -- 3. Detecting and monitoring behavioural patterns in individuals with cognitive disorders in the home environment with partial annotations -- 4. Towards On-device Weight Monitoring from Selfie Face Images Using Smartphones -- 5. Convergence between IoT and AI for Smart Health and Predictive Medicine -- 6. An Artificial Intelligence and Internet of Things Platform for Healthcare and Industrial Applications -- 7. Methods in Digital Mental Health: Smartphone-based Assessment and Intervention for Stress, Anxiety and Depression -- 8. AI for the detection of the Diabetic Retinopathy -- 9. Enhancing EEG-based Emotion Recognition with Fast Online Instance Transfer -- 10. Using Association Rules to mine Actionable Knowledge from Internet of Medical Thinks data.

The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.

ISBN: 9783030911812

Standard No.: 10.1007/978-3-030-91181-2doiSubjects--Topical Terms:

900591
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78 / I57 2022

Dewey Class. No.: 610.28563

Integrating artificial intelligence and IoT for advanced health informatics = AI in the healthcare sector /
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245 0 0 $a Integrating artificial intelligence and IoT for advanced health informatics $h [electronic resource] : $b AI in the healthcare sector / $c edited by Carmela Comito, Agostino Forestiero, Ester Zumpano.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xiv, 177 p. : $b ill., digital ; $c 24 cm.
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505 0 $a 1. Lower-Gait Tracking Application Using Smartphones and Tablets -- 2. One-class classification approach in accelerometer based remote monitoring of physical activities for healthcare applications -- 3. Detecting and monitoring behavioural patterns in individuals with cognitive disorders in the home environment with partial annotations -- 4. Towards On-device Weight Monitoring from Selfie Face Images Using Smartphones -- 5. Convergence between IoT and AI for Smart Health and Predictive Medicine -- 6. An Artificial Intelligence and Internet of Things Platform for Healthcare and Industrial Applications -- 7. Methods in Digital Mental Health: Smartphone-based Assessment and Intervention for Stress, Anxiety and Depression -- 8. AI for the detection of the Diabetic Retinopathy -- 9. Enhancing EEG-based Emotion Recognition with Fast Online Instance Transfer -- 10. Using Association Rules to mine Actionable Knowledge from Internet of Medical Thinks data.
520 $a The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.
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650 1 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Cyber-Physical Systems. $3 3591993
650 2 4 $a Health Informatics. $3 892928
650 2 4 $a Biomedical Engineering and Bioengineering. $3 3381533
700 1 $a Comito, Carmela. $3 3595528
700 1 $a Forestiero, Agostino. $3 3595529
700 1 $a Zumpano, Ester. $3 3595530
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