Explainable Machine Learning in Medicine
Home > Science, Technology & Agriculture > Electronics and communications engineering > Communications engineering / telecommunications > Explainable Machine Learning in Medicine: (Synthesis Lectures on Engineering, Science, and Technology)
Explainable Machine Learning in Medicine: (Synthesis Lectures on Engineering, Science, and Technology)

Explainable Machine Learning in Medicine: (Synthesis Lectures on Engineering, Science, and Technology)


     0     
5
4
3
2
1



International Edition


X
About the Book

This book covers a variety of advanced communications technologies that can be used to analyze medical data and can be used to diagnose diseases in clinic centers. The book is a primer of methods for medicine, providing an overview of explainable artificial intelligence (AI) techniques that can be applied in different medical challenges. The authors discuss how to select and apply the proper technology depending on the provided data and the analysis desired. Because a variety of data can be used in the medical field, the book explains how to deal with challenges connected with each type. A number of scenarios are introduced that can happen in real-time environments, with each pared with a type of machine learning that can be used to solve it.

Table of Contents:
1 Introduction.- 2 Medical Tabular Data.- 3 Natural Language Processing for Medical Data Analysis.- 4 Computer Vision for Medical Data Analysis.- 5 Time Series Data Used for Diseases Recognition and Anomaly Detection.- 6 Summary.

About the Author :
Dr. Karol Przystalski obtained a PhD degree in Computer Science in 2017 at the Jagiellonian University in Cracow, Poland. He use to be the CTO and founder of Codete, an Exadel company. He is working with Fortune 500 companies on data science projects. He has built a research lab for machine learning methods and big data solutions at Codete. He gives speeches and trainings in data science with a focus on applied machine learning in German, Polish, and English. He is a lecturer at the Jagiellonian University in Cracow since 2010. He has been invited as a reviewer in Expert Systems with Applications journal. His areas of research interest are medical imaging analysis, artificial intelligence, machine learning, deep learning, machine learning security, pattern recognition, and image processing.  Dr. Rohit Thanki is a senior member of IEEE and researcher with more than 10 years of research experience in computer vision, artificial intelligence, medical image analysis & security, and biometrics, including more than 4 years of academic experience in various engineering institutions in India. He was worked as a head of research & development, Prognica Labs Tech FZCO, Dubai, UAE. Also, He was associated with Ennoventure Technologies Private Limited, Bengaluru, India. He earned my bachelor's in electronics & communication, a master's in communication engineering, and a doctorate in electronics & communication specializing in digital image processing and biometric security. His areas of research interest are medical image analysis, artificial intelligence, machine learning, deep learning, digital watermarking, biometric security, compressive sensing, and signal processing. He has over 40 publications to his credit and has published in reputed journals with high impact factors and international conferences indexing in Web of Science and Scopus. Also, He is an authored and contributed more than 15 books with respected publishers, i.e., Springer, CRC Press, Elsevier, De Gruyter, and IGI Global. In addition, He has been invited as a reviewer in various reputed journals such as IEEE Transactions on Audio, Speech and Natural Language Processing, ACM Transactions on Multimedia Computing, Communications and Applications, IEEE Consumer Electronics Magazine, IEEE Access, IEEE Journal of Biomedical and Health Informatics, Signal Processing: Image Communication, Pattern Recognition, Computers, and Electrical Engineering, Informatics in Medicine, Journal of Ambient Intelligence and Humanized Computing, IET Biometrics, and IET Image Processing.


Best Sellers


Product Details
  • ISBN-13: 9783031448768
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 240 mm
  • No of Pages: 82
  • Series Title: Synthesis Lectures on Engineering, Science, and Technology
  • ISBN-10: 3031448766
  • Publisher Date: 27 Nov 2023
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Width: 168 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Explainable Machine Learning in Medicine: (Synthesis Lectures on Engineering, Science, and Technology)
Springer International Publishing AG -
Explainable Machine Learning in Medicine: (Synthesis Lectures on Engineering, Science, and Technology)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Explainable Machine Learning in Medicine: (Synthesis Lectures on Engineering, Science, and Technology)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!