Short Courses of the 23rd Brazilian Symposium on Computing Applied to Health
Keywords:
SBCAS 2023, Computing Applied to Health, SBCAS, Short Courses of the SBCAS 2023Synopsis
The Book of Short Courses of SBCAS 2023 brings the texts of the short courses selected and presented in this edition of the event. The book is organized into five chapters covering machine learning, digital health data patterns, IoT and telehealth.
Chapter 1, entitled “Internet of Things and Intelligent Environments in the context of Health“, presents a study on the application of Internet of Things and intelligent environments within the context of Health.
Chapter 2, entitled “Supervised Machine Learning for Time Series in Healthcare”, presents techniques for dealing with temporal data for healthcare, from both a theoretical and a practical point of view.
Chapter 3, entitled “Explaining decisions with AI: Demonstrating its application in medical imaging”, addresses theoretical aspects to explain the decisions made by AI models, in particular those based on Deep Neural Network (DNN) models and their importance in the medical context, presenting various methods of explaining DNN models.
Chapter 4, titled “Patterns and Solutions for Storing, Sharing, and Structuring Data in Digital Health: Privacy, Integration, and Challenges”, explores Electronic Medical Records (EMRs) standards, security challenges, and blockchain-based solutions for interoperability. and secure data sharing in healthcare.
Chapter 5, entitled “New Generation of Telehealth: Opportunities, Trends and Challenges”, concludes the book, raising the main and newest computational techniques that are being adopted or envisaged for use in telehealth, in addition to discussing new computational projects applied to telehealth. Telehealth and the position of Brazil within this scenario.
Chapters
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1. Internet of Things and Intelligent Environments in the context of Health
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2. Supervised Machine Learning for Time Series in Healthcare
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3. Explaining decisions with AI: Demonstrating its application in medical imaging
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4. Patterns and Solutions for Storing, Sharing, and Structuring Data in Digital Health: Privacy, Integration, and Challenges
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5. New Generation of Telehealth: Opportunities, Trends and Challenges
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