Principles and methods of explainable artificial intelligence in healthcare

Principles and methods of explainable artificial intelligence in healthcare

"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, ele...

Полное описание

Библиографическая информация
Другие авторы:	De Albuquerque, Victor Hugo C., Srinivasu, Parvathaneni Naga, 1990-, Bhoi, Akash Kumar, Gonzalez Briones, Alfonso, 1985-
Формат:	Электронная книга
Язык:	English
Публикация:	Hershey, PA IGI Global, Medical Information Science Reference (an imprint of IGI Global), [2022]
Серии:	Advances in medical technologies and clinical practice book series.
Предметы:	Artificial intelligence. Diagnosis > Data processing. Artificial Intelligence Diagnosis, Computer-Assisted Intelligence artificielle. Diagnostics > Informatique. artificial intelligence. EBSCO eBooks
Online-ссылка:	EBSCOhost Перейти в каталог НБ ТГУ

Похожие документы

Intelligent systems for healthcare management and delivery
Публикация: (2019)

Artificial Intelligence of things for weather forecasting and climatic behavioral analysis
Публикация: (2022)

Diagnostic applications of health intelligence and surveillance systems
Публикация: (2021)

Applications of computational science in artificial intelligence
Публикация: (2022)

Handbook of research on applied data science and artificial intelligence in business and industry
Публикация: (2021)

Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering
Публикация: (2019)

Biomedical computing for breast cancer detection and diagnosis
Публикация: (2021)

Hacking artificial intelligence a leader's guide from deepfakes to breaking deep learning
по: Gibian, Davey, 1988-
Публикация: (2022)

Artificial Intelligence rise of the lightspeed learners
по: Jennings, Charles, 1948-
Публикация: (2019)

Advanced deep learning applications in big data analytics
Публикация: (2021)

Integrating AI in IoT analytics on the cloud for healthcare applications
Публикация: (2022)

Pre-screening systems for early disease prediction, detection, and prevention
Публикация: (2019)

Artificial Intelligence for IoT Cookbook Over 70 Recipes for Building AI Solutions for Smart Homes, Industrial IoT, and Smart Cities.
по: Roshak, Michael
Публикация: (2021)

Leveraging AI technologies for preventing and detecting sudden cardiac arrest and death
Публикация: (2022)

Bridging the gap between AI, cognitive science, and narratology with narrative generation
Публикация: (2021)

Accelerated materials discovery how to use artificial intelligence to speed up development
Публикация: (2022)

Applications of artificial intelligence in electrical engineering
Публикация: (2020)

HANDS-ON ARTIFICIAL INTELLIGENCE FOR IOT expert techniques for developing smarter iot systems ... through machine learning and deep learning with py.
по: Kapoor, Amita
Публикация: (2019)

Emerging trends and applications in cognitive computing
Публикация: (2019)

Deep neural networks for multimodal imaging and biomedical applications
Публикация: (2020)

Implementing data analytics and architectures for next generation wireless communications
Публикация: (2022)

Machine learning and data analytics for predicting, managing, and monitoring disease
Публикация: (2022)

The statistics and calculus workshop a comprehensive introduction to mathematics in Python for artificial intelligence applications
по: Farrell, Peter, 1966-
Публикация: (2020)

Internet of Things and machine learning in agriculture technological impacts and challenges
Публикация: (2021)

An introductory guide to artificial intelligence for legal professionals
Публикация: (2020)

Hands-on neural networks learn how to build and train your first neural network model using Python
по: De Marchi, Leonardo
Публикация: (2019)

Artificial intelligence and security challenges in emerging networks
Публикация: (2019)

Handbook of research on advances in data analytics and complex communication networks
Публикация: (2022)

AI and big data's potential for disruptive innovation
Публикация: (2020)

Handbook of research on Innovative management using AI in industry 5.0
Публикация: (2021)

Responsible AI and ethical issues for businesses and governments
Публикация: (2021)

Python deep learning exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
по: Vasilev, Ivan
Публикация: (2019)

Avatar-based control, estimation, communications, and development of neuron multi-functional technology platforms
Публикация: (2020)

Integration challenges for analytics, business intelligence, and data mining
Публикация: (2020)

Machine learning with Swift artificial intelligence for iOS
по: Sosnovshchenko, Alexander
Публикация: (2018)

Empowering sustainable industrial 4.0 systems with machine intelligence
Публикация: (2022)

Regulatory aspects of artificial intelligence on blockchain
Публикация: (2022)

AI techniques for reliability prediction for electronic components
Публикация: (2020)

Machine learning in cancer research with applications in colon cancer and big data analysis
по: Lu, Zhongyu, 1955-
Публикация: (2021)

The economics of artificial intelligence an agenda
Публикация: (2019)