Principles and Methods of Explainable Artificial Intelligence in Healthcare

This book PDF is perfect for those who love Electronic Books genre, written by Victor Hugo C. De Albuquerque and published by Medical Information Science Reference which was released on 26 April 2024 with total hardcover pages 325. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Principles and Methods of Explainable Artificial Intelligence in Healthcare books below.

Principles and Methods of Explainable Artificial Intelligence in Healthcare

Author	: Victor Hugo C. De Albuquerque
File Size	: 51,8 Mb
Publisher	: Medical Information Science Reference
Language	: English
Release Date	: 26 April 2024
ISBN	: 1668437910
Pages	: 325 pages

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Principles and Methods of Explainable Artificial Intelligence in Healthcare by Victor Hugo C. De Albuquerque Book PDF Summary

"This book focuses on the Explainable Artificial Intelligence (XAI) for healthcare, providing a broad overview of state-of-art approaches for accurate analysis and diagnosis, and encompassing computational vision processing techniques that handle complex data like physiological information, electronic healthcare records, medical imaging data that assist in earlier prediction"--

Principles and Methods of Explainable Artificial Intelligence in Healthcare by Victor Hugo C. De Albuquerque,P. Naga Srinivasu,Akash Kumar Bhoi,Alfonso González Briones

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Principles and Methods of Explainable Artificial Intelligence in Healthcare by Albuquerque, Victor Hugo C. de,Srinivasu, P. Naga,Bhoi, Akash Kumar,Briones, Alfonso Gonza?lez

Explainable artificial intelligence is proficient in operating and analyzing the unconstrainted environment in fields like robotic medicine, robotic treatment, and robotic surgery, which rely on computational vision for analyzing complex situations. Explainable artificial intelligence is a well-structured customizable technology that makes it possible to generate promising unbiased outcomes. The model’

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Explainable Artificial Intelligence XAI in Healthcare by Utku Kose,Nilgun Sengoz,Xi Chen,Jose Antonio Marmolejo Saucedo

This book highlights the use of explainable artificial intelligence (XAI) for healthcare problems, in order to improve trustworthiness, performance and sustainability levels in the context of applications. Explainable Artificial Intelligence (XAI) in Healthcare adopts the understanding that AI solutions should not only have high accuracy performance, but also be transparent,

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Explainable AI in Healthcare and Medicine by Arash Shaban-Nejad,Martin Michalowski,David L. Buckeridge

This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues,

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Explainable Machine Learning for Multimedia Based Healthcare Applications by M. Shamim Hossain

Download or read online Explainable Machine Learning for Multimedia Based Healthcare Applications written by M. Shamim Hossain, published by Springer Nature which was released on . Get Explainable Machine Learning for Multimedia Based Healthcare Applications Books now! Available in PDF, ePub and Kindle.

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Explainable AI with Python by Leonida Gianfagna,Antonio Di Cecco

This book provides a full presentation of the current concepts and available techniques to make “machine learning” systems more explainable. The approaches presented can be applied to almost all the current “machine learning” models: linear and logistic regression, deep learning neural networks, natural language processing and image recognition, among the

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Deep Learning in Gaming and Animations by Vikas Chaudhary,Moolchand Sharma,Prerna Sharma,Deevyankar Agarwal

Over the last decade, progress in deep learning has had a profound and transformational effect on many complex problems, including speech recognition, machine translation, natural language understanding, and computer vision. As a result, computers can now achieve human-competitive performance in a wide range of perception and recognition tasks. Many of

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Handbook of Artificial Intelligence in Healthcare by Chee-Peng Lim,Yen-Wei Chen,Ashlesha Vaidya,Charu Mahorkar,Lakhmi C. Jain

Artificial Intelligence (AI) has transformed many aspects of our daily activities. Health and well-being of humans stand as one of the key domains where AI has achieved significant progresses, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments. This book is

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