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Biomedical data analysis and process...

Khamparia, Aditya.

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Biomedical data analysis and processing using explainable (XAI) and responsive artificial intelligence (RAI)

Record Type:	Electronic resources : Monograph/item
Title/Author:	Biomedical data analysis and processing using explainable (XAI) and responsive artificial intelligence (RAI)/ edited by Aditya Khamparia ... [et al.].
other author:	Khamparia, Aditya.
Published:	Singapore :Springer Singapore : : 2022.,
Description:	xv, 137 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Optimal Boosting Label Weighting Extreme Learning Machine for Mental Disorder Prediction and Classification -- Modeling of Explainable Artificial Intelligence with Correlation based Feature Selection Approach for Biomedical Data Analysis -- Explainable machine learning model for diagnosis of Parkinson disorder -- Explainable Artificial Intelligence with Metaheuristic Feature Selection Technique for Biomedical Data Classification -- Explainable AI in Neural Networks using Shapley Values -- Design of Multimodal Fusion based Deep Learning Approach for COVID-19 Diagnosis using Chest X-Ray Images.
Contained By:	Springer Nature eBook
Subject:	Biomedical engineering - Data processing. -
Online resource:	https://doi.org/10.1007/978-981-19-1476-8
ISBN:	9789811914768

Biomedical data analysis and processing using explainable (XAI) and responsive artificial intelligence (RAI)
Biomedical data analysis and processing using explainable (XAI) and responsive artificial intelligence (RAI)[electronic resource] /edited by Aditya Khamparia ... [et al.]. - Singapore :Springer Singapore :2022. - xv, 137 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v. 2221868-4408 ;. - Intelligent systems reference library ;v. 222..

Optimal Boosting Label Weighting Extreme Learning Machine for Mental Disorder Prediction and Classification -- Modeling of Explainable Artificial Intelligence with Correlation based Feature Selection Approach for Biomedical Data Analysis -- Explainable machine learning model for diagnosis of Parkinson disorder -- Explainable Artificial Intelligence with Metaheuristic Feature Selection Technique for Biomedical Data Classification -- Explainable AI in Neural Networks using Shapley Values -- Design of Multimodal Fusion based Deep Learning Approach for COVID-19 Diagnosis using Chest X-Ray Images.

The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies.

ISBN: 9789811914768

Standard No.: 10.1007/978-981-19-1476-8doiSubjects--Topical Terms:

1067462
Biomedical engineering
--Data processing.

LC Class. No.: R857.D34 / B56 2022

Dewey Class. No.: 610.28563

Biomedical data analysis and processing using explainable (XAI) and responsive artificial intelligence (RAI)
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245 0 0 $a Biomedical data analysis and processing using explainable (XAI) and responsive artificial intelligence (RAI) $h [electronic resource] / $c edited by Aditya Khamparia ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2022.
300 $a xv, 137 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4408 ; $v v. 222
505 0 $a Optimal Boosting Label Weighting Extreme Learning Machine for Mental Disorder Prediction and Classification -- Modeling of Explainable Artificial Intelligence with Correlation based Feature Selection Approach for Biomedical Data Analysis -- Explainable machine learning model for diagnosis of Parkinson disorder -- Explainable Artificial Intelligence with Metaheuristic Feature Selection Technique for Biomedical Data Classification -- Explainable AI in Neural Networks using Shapley Values -- Design of Multimodal Fusion based Deep Learning Approach for COVID-19 Diagnosis using Chest X-Ray Images.
520 $a The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies.
650 0 $a Biomedical engineering $x Data processing. $3 1067462
650 0 $a Artificial intelligence. $3 516317
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Biomedical Engineering and Bioengineering. $3 3381533
700 1 $a Khamparia, Aditya. $3 3599026
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Intelligent systems reference library ; $v v. 222. $3 3599027
856 4 0 $u https://doi.org/10.1007/978-981-19-1476-8
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)