Natural Language Processing 2020
DOI: 10.4018/978-1-7998-0951-7.ch076
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Combining Artificial Intelligence and NetMedicine for Ambient Assisted Living

Abstract: World population is shifting towards older ages: according to recent estimates there will be 1.5 billion people over 65 years old in 2050. Local governments, international institutions, care organizations and industry are fostering the research community to find solutions to face the unprecedented challenges raised by population ageing. A combination of Artificial Intelligence and NetMedicine could be ideal to face these challenges: they provide the means to develop an intelligent system and simultaneously to … Show more

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Cited by 3 publications
(3 citation statements)
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“…e task executes in its own context and does not rely on other tasks or schedules. Intelligent human-computer cooperation, most of Jiang's research focuses on clearly [23].…”
Section: Development Status Of Film and Television Animation Atmentioning
confidence: 99%
“…e task executes in its own context and does not rely on other tasks or schedules. Intelligent human-computer cooperation, most of Jiang's research focuses on clearly [23].…”
Section: Development Status Of Film and Television Animation Atmentioning
confidence: 99%
“…Because of its wide application, machine learning has different definitions: it belongs to a branch of artificial intelligence and optimizes the performance of specific algorithms through empirical learning; it is the study of computer algorithms that can automatically improve learning through experience; it uses data or Past experience, automatic analysis to obtain the rules, in order to optimize the performance criteria of computer programs [22][23]. Machine learning is mainly divided into the following categories: the training set of supervised learning requires features and goals, where the goals are artificially labeled; however, the training set of unsupervised learning is not artificially labeled; between The algorithm is semi-supervised learning; reinforcement learning evaluates whether the feedback after the action is positive or negative [24][25].…”
Section: Artificial Intelligence Algorithmmentioning
confidence: 99%
“…The system should analyze the data and proactively decide whether to trigger an alert when an anomaly is detected. They tested the belief-wish-intention (BDI) paradigm: a virtual caregiver, an architecture that implements a prototype multiagent system (MAS) [1]. Chen and Yu believe that collaborative filtering provides a solution for personalized recommendations to solve the problem of information overload.…”
Section: Introductionmentioning
confidence: 99%