國立高雄大學圖資館 |

Language: English

Back

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.
Contained By:	Springer Nature eBook
Subject:	Biomedical engineeringData processing.
Online resource:	https://doi.org/10.1007/978-981-19-1476-8
ISBN:	9789811914768$q(electronic bk.)

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.24..

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$q(electronic bk.)

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

456685
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)
LDR:02332nmm a2200337 a 4500 001 621228
003 DE-He213
005 20220409091740.0
006 m d
007 cr nn 008maaau
008 221121s2022 si s 0 eng d
020 $a 9789811914768$q(electronic bk.)
020 $a 9789811914751$q(paper)
024 7 $a 10.1007/978-981-19-1476-8 $2 doi
035 $a 978-981-19-1476-8
040 $a GP $c GP
041 0 $a eng
050 4 $a R857.D34 $b B56 2022
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 610.28563 $2 23
090 $a R857.D34 $b B615 2022
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 456685
650 0 $a Artificial intelligence. $3 194058
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Biomedical Engineering and Bioengineering. $3 826326
700 1 $a Khamparia, Aditya. $3 922347
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Intelligent systems reference library ; $v v.24. $3 558591
856 4 0 $u https://doi.org/10.1007/978-981-19-1476-8
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)