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| control field |
14321084 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20260713162435.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION |
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m o d |
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cr cnu---unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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260708t20252025nju o 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781394249268 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781394249312 |
| Qualifying information |
electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
1394249314 |
| Qualifying information |
electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781394249299 |
| Qualifying information |
electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
1394249292 |
| Qualifying information |
electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1394249306 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781394249305 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Cancelled/invalid ISBN |
9781394249268 |
| Qualifying information |
hardcover |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Cancelled/invalid ISBN |
1394249268 |
| Qualifying information |
hardcover |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)1503550427 |
| Canceled/invalid control number |
(OCoLC)1500654889 |
| 035 #9 - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCLCCM-Owned)1503550427 |
| 037 ## - SOURCE OF ACQUISITION |
|---|
| Stock number |
11236002 |
| Source of stock number/acquisition |
IEEE |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 049 ## - LOCAL HOLDINGS (OCLC) |
|---|
| Holding library |
MAIN |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
R859.7.A78 |
| Item number |
E97 2025 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23 |
| Classification number |
610.28563 |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Explainable artificial intelligence in the healthcare industry / |
| Statement of responsibility, etc |
edited by Abhishek Kumar... [and 4 others]. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Hoboken, NJ : |
| Name of publisher, distributor, etc |
John Wiley & Sons, Inc. ; |
| Place of publication, distribution, etc |
Beverly, MA : |
| Name of publisher, distributor, etc |
Scrivener Publishing LLC, |
| Date of publication, distribution, etc |
2025. |
| 264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Date of publication, distribution, etc |
©2025 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 505 0# - CONTENTS |
|---|
| Formatted contents note |
Preface xxix -- 1 A Review on Explainable Artificial Intelligence for Healthcare 1 Rakhi Chauhan -- 2 Explainable Artificial Intelligence (XAI) in Healthcare: Fostering Transparency, Accountability, and Responsible AI Deployment 17 Asha S. Manek, Shruti Vashist, Geeta Tripathi and Savita Sindhu -- 3 Illuminating the Diagnostic Path: Unveiling Explainability in Medical Imaging 39 Sivanantham S., Anwar Basha H., Thanuja K., Shafiya Banu M., Maithili K. and AnilKumar Ambore -- 4 HealsHealthAI: Unveiling Personalized Healthcare Insights with Open Source Fine-Tuned LLM 67 Lavan J. V. and Lakshmi Sangeetha -- 5 Introduction to Explainable AI in EEG Signal Processing: A Review 79 Parag Puranik and Rahul Pethe -- 6 Transparency in Disease Diagnosis: Leveraging Interpretable Machine Learning in Healthcare 105 Inam Ul Haq, Adil Husain Rather, Syed Zoofa Rufai, Ahmad Shah, Sheetal and Akib Mohi Ud Din Khanday -- 7 Transparency in Text: Unraveling Explainability in Healthcare Natural Language Processing 131 Madhan Veeramani, Karthick P., S. Venkateswaran, Sriman B., Shaik Thasleem Bhanu and V. Seedha Devi -- 8 Introduction to Explainable AI in Healthcare: Enhancing Transparency and Trust 161 Karthik Srinivasan, Chaithanya Kumar Viralam Ramamurthy, Saravanan Matheswaran and Shermin Shamsudheen -- 9 Interpretable Machine Learning Techniques 185 V. Kavitha, K. Suresh, G. Priyadharshini, Shaik Rasheeda Begum and R. Vidhya -- 10 Interpretable Machine Learning Techniques in AI 209 Shavez, Poornima, Kanu Goyal, Shweta Sharma and Parul Sharma -- 11 Interpretable Machine Learning Techniques in Medical System-The Role of Data Analytics and Machine Learning 233 Venkataraman P., Sunantha D. and Lakshmi S. -- 12 Interpretable AI: Shedding Light on Medical Image Analysis Using Machine Learning Techniques 257 S. Bashyam, P. Supraja and Prithiviraj Rajalingam -- 13 Exploring the Role of Explainable AI in Women's Health: Challenges and Solutions 283 Inam Ul Haq and Akib Mohi Ud Din Khanday -- 14 Explainable AI in Healthcare: Introduction 307 Amandeep Kaur and Sonali Goyal -- 15 Ethical Implications of Emotion Recognition Technology in Mental Healthcare: Navigating Privacy, Bias, and Therapeutic Boundaries 325 R. Ravi, V. Jeya Ramya, B. Prameela Rani, Srikanth Nalluri and M. Jenath -- 16 Bridging the Gap: Clinical Adoption and User Perspectives of Explainable AI in Healthcare 349 Shaik Masood Ahamed and J. Jabez -- 17 Application of AI-Based Technologies in the Healthcare Sector: Opportunities, Challenges, and Its Impact-Review 375 G. Jegadeeswari and B. Kirubadurai -- 18 A Complete Road Map for Interpretable Machine Learning Techniques Harnessing Various Real-Time Applications 393 A. Pandian, V. V. Ramalingam, J. Venkata Subramanian, K. Pradeep Mohan Kumar and S. Padmini -- 19 Future Research Directions: Explainable Artificial Intelligence in Healthcare Industry 423 Shamneesh Sharma, Neha Kumra, Meghna Luthra, Vikas Verma and Komal Sharma -- 20 Real-World Applications of Explainable AI in Healthcare 451 Urvi, Parul Sharma, Kanu Goyal and Shweta Sharma -- 21 Explainable AI in Medical Imaging, Personalized Medicine, and Bias Reduction: A New Era in Healthcare 467 Komal, Ganesh K. Sethi, Shamneesh Sharma and Rajender Kumar -- 22 Understanding Explainability in Medical Imaging 493 Annie Silviya S. H., R. Tamizh Kuzhali, Akshaya V., Lakshmi Prabha T. S., Immanuvel Arokia James K. and B. Sriman -- 23 Explainability and Regulatory Compliance in Healthcare: Bridging the Gap for Ethical XAI Implementation 521 Uma Maheswari Kalia Moorthy, Asthampatti Marimuthu Jayapalan Muthukumaran, Vijayalakshmi Kaliyaperumal, Shobana Jayakumar and Kalpana Ayanellore Vijayaraghavan -- 24 Envisioning Explainable AI: Significance, Real-Time Applications, and Challenges in Healthcare 563 Kannan Chakrapani, Mohamed Iqubal Safa, Saranya Gangadhara Moorthy, Meenakshi Kumaraswamy and George Parimala -- 25 Enlightened XAI: Illuminating Ethics and Equitable Explainability 593 Hemalatha P., Manikandan J., B. Balaji and V. Sujitha -- 26 Enhancing Trust and Collaboration Using Explainability in Natural Language Processing for AI-Driven Healthcare 619 A. Pandian, K. Pradeep Mohankumar, S. Padmini, Sibi Amaran and K. Sreekumar -- About the Editors 651 -- Index 653. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Discover the essential insights and practical applications of explainable AI in healthcare that will empower professionals and enhance patient trust with Explainable AI in the Healthcare Industry, a must-have resource. Explainable AI (XAI) has significant implications for the healthcare industry, where trust, accountability, and interpretability are crucial factors for the adoption of artificial intelligence. XAI techniques in healthcare aim to provide clear and understandable explanations for AI-driven decisions, helping healthcare professionals, patients, and regulatory bodies to better comprehend and trust the AI models' outputs. Explainable AI in the Healthcare Industry presents a comprehensive exploration of the critical role of explainable AI in revolutionizing the healthcare industry. With the rapid integration of AI-driven solutions in medical practice, understanding how these models arrive at their decisions is of paramount importance. The book delves into the principles, methodologies, and practical applications of XAI techniques specifically tailored for healthcare settings. |
| 588 ## - SOURCE OF DESCRIPTION NOTE |
|---|
| Source of description note |
Description based on online resource; title from digital title page (viewed on March 13, 2025). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence |
| General subdivision |
Medical applications. |
| Authority record control number |
http://id.loc.gov/authorities/subjects/sh88003000 |
| 655 #0 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Print version: |
| International Standard Book Number |
1394249268 |
| -- |
9781394249268 |
| Record control number |
(OCoLC)1468972211 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
https://onlinelibrary.wiley.com/doi/book/10.1002/9781394249312 |
| Link text |
Full text is available at Wiley Online Library. Click here to view. |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Source of classification or shelving scheme |
|
| Item type |
EBOOK |