An intelligent system for prognosis of noncommunicable diseases’ risk factors

Pittoli, Fábio; Vianna, Henrique Damasceno; Barbosa, Jorge Luís Victória; Butzen, Emerson; Gaedke, Mari Ângela; Costa, Juvenal Soares Dias da; Santos, Renan Belarmino Scherer dos

doi:10.1016/j.tele.2018.02.005

Cited by 13 publications

(3 citation statements)

References 40 publications

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“…One successful sol ution is to provide periodic data on the location of infected people. Such reports can be provided daily or instantly [21][22].…”

Section: Gps Technologymentioning

confidence: 99%

Information technology platform for monitoring infectious diseases

Stanko¹

2023

Visnyk TNTU

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Research conducted to curb the spread of infectious diseases in cities confirms that technology is making a significant contribution. A significant number of scientific studies analyze the impact of technology on the covid-19 pandemic in various aspects. However, the problems associated with the implementation of monitoring systems based on the Internet of Things are not studied in depth, they are related to the design of systems, their implementation in everyday life. This research provides an up-to-date analysis of how technology is helping to fight infectious diseases. Along with this, we consider the main challenges faced by users of such technologies, namely: privacy, security, scalability, etc. As a result, we can say that related technologies have a significant impact on the detection, tracking and containment of viruses. The organization and movement of a person has a great influence on the frequency of contacts, which, as a result, affects the transmission, spread and persistence of disease-causing pathogens. The search for contact structures of infectious diseases in view of human mobility requires a clear consideration of the spatial and temporal dimensions of pathogen transmission, which depend on the type of pathogen and the method of its transmission, the number of contacts and location. A platform that can help collect and analyze data mainly depends on having access to accurate details about various factors. Therefore, obtaining information is of prime importance for the development of this kind of technological platform. Using advanced technologies and tools such as IoT, remote monitoring devices, GPS, artificial intelligence and data analytics, contact tracing programs can provide an extra layer of protection when it comes to monitoring and controlling people's lives and health. The proposed approach to ensure the effective implementation of the IT platform for monitoring infectious diseases, as well as the formed group of roles. This approach makes it easier to launch the platform, distributing work between assigned roles and reducing the burden on health care resources and other city services.

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“…One successful sol ution is to provide periodic data on the location of infected people. Such reports can be provided daily or instantly [21][22].…”

Section: Gps Technologymentioning

confidence: 99%

Information technology platform for monitoring infectious diseases

Stanko¹

2023

Visnyk TNTU

View full text Add to dashboard Cite

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“…The evolution of ubiquitous computing provided applications in areas including health [25][26][27][28][29][30], agriculture [14,31], commerce [32], and education [33][34][35][36][37], among others. The application of ubiquitous computing [38] has led to the emergence of research areas such as u-learning [39], u-commerce [40], and u-health [41][42][43].…”

Section: Ambient Intelligence and Iotmentioning

confidence: 99%

Ambient Intelligence Based on IoT for Assisting People with Alzheimer’s Disease Through Context Histories

et al. 2021

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New Internet of Things (IoT) applications are enabling the development of projects that help with monitoring people with different diseases in their daily lives. Alzheimer’s is a disease that affects neurological functions and needs support to maintain maximum independence and security of patients during this stage of life, as the cure and reversal of symptoms have not yet been discovered. The IoT-based monitoring system provides the caregivers’ support in monitoring people with Alzheimer’s disease (AD). This paper presents an ontology-based computational model that receives physiological data from external IoT applications, allowing identification of potentially dangerous behaviors for patients with AD. The main scientific contribution of this work is the specification of a model focusing on Alzheimer’s disease using the analysis of context histories and context prediction, which, considering the state of the art, is the only one that uses analysis of context histories to perform predictions. In this research, we also propose a simulator to generate activities of the daily life of patients, allowing the creation of data sets. These data sets were used to evaluate the contributions of the model and were generated according to the standardization of the ontology. The simulator generated 1026 scenarios applied to guide the predictions, which achieved average accurary of 97.44%. The experiments also allowed the learning of 20 relevant lessons on technological, medical, and methodological aspects that are recorded in this article.

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“…Health Informatics (HI) has occupied a strategic role in society, generating relevant impacts on economic and human aspects. Recent research in this regard considers physical and mental health involving topics such as prevention and care of noncommunicable diseases [5][6][7], use of mobile and context-aware systems [8,9] and assistance in the treatment of stress, anxiety and depression [4,10,11]. HI research also considers specific diseases such as Alzheimer [12] and specific technology issues as strategies for recording vital signs [13], application of machine learning to identify medication-associated acute kidney injury [14] and use of visual analytics for handling of Electronic Health Records (EHR) [15].…”

Section: Introductionmentioning

confidence: 99%