Architectural design of a multi agent enterprise knowledge management system (MAEKMS) for e-health

Jain, Pooja

doi:10.1109/iciscon.2014.6965225

Cited by 2 publications

References 10 publications

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A Systematic Literature Review of Agents Applied in Healthcare

Isern

Moreno

2015

J Med Syst

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Intelligent agents and healthcare have been intimately linked in the last years. The intrinsic complexity and diversity of care can be tackled with the flexibility, dynamics and reliability of multi-agent systems. The purpose of this review is to show the feasibility of applying intelligent agents in the healthcare domain and use the findings to provide a discussion of current trends and devise future research directions. A review of the most recent literature (2009-2014) of applications of agents in healthcare is discussed, and two classifications considering the main goal of the health systems as well as the main actors involved have been investigated. This review shows that the number of published works exhibits a growing interest of researchers in this field in a wide range of applications.

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A Systematic Literature Review of Agents Applied in Healthcare

Isern

Moreno

2015

J Med Syst

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Mental Health Detection Using Transformer BERT

Patel

Pal

Kumar

et al. 2022

Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization

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The COVID-19 pandemic has affected the daily life of each individual drastically at global level. The adverse effects of the pandemic on an individual and people around them have created an anxious and depressive environment. The virus has changed the way of living for most people and increased the distance between individuals. As the COVID-19 spread, people have been constantly in bad mental health which includes fear, boredom, sadness, and stress. Based on this situation, in this chapter the authors have analysed the mental health of people affected due to COVID-19 by analyzing two parameters of mental health, boredom and stress, from social media posts by detecting different emotions and feelings expressed in the form of text. The authors have utilized the BERT pre-trained model on preprocessed data to create classification models of boredom, stress, and consequently, determining the emotion of the person. These models are used to determine the emotions (i.e., stress and boredom) during different stages of the COVID-19 pandemic.

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Architectural design of a multi agent enterprise knowledge management system (MAEKMS) for e-health

Cited by 2 publications

References 10 publications

A Systematic Literature Review of Agents Applied in Healthcare

A Systematic Literature Review of Agents Applied in Healthcare

Mental Health Detection Using Transformer BERT

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