Abstract The coronavirus disease (COVID-19) pandemic has increased the necessity of immediate clinical decisions and effective usage healthcare resources. Currently, most validated diagnosis test for COVID-19 (RT-PCR) is in shortage developing countries, which may increase infection rates delay important preventive measures. objective this study was to predict risk positive with machine learning, using as predictors only results from emergency care admission exams. We collected data 235...

Abstract The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and the effective allocation of healthcare resources. An accurate prognostic assessment necessary to improve survival patients, especially in developing countries. This study proposes predict risk critical conditions COVID-19 patients by training multipurpose algorithms. We followed total 1040 with positive RT-PCR diagnosis from large hospital São Paulo, Brazil, March June 2020, which 288 (28%)...

Introduction Little is understood about the socioeconomic predictors of tooth loss, a condition that can negatively impact individual’s quality life. The goal this study to develop machine-learning algorithm predict complete and incremental loss among adults compare predictive performance these models. Methods We used data from National Health Nutrition Examination Survey 2011 2014. developed multiple algorithms assessed their performances by examining area under receiver operating...

Abstract Background Recent decreases in neonatal mortality have been slower than expected for most countries. This study aims to predict the risk of using only data routinely available from birth records largest city Americas. Methods A probabilistic linkage every record occurring municipality São Paulo, Brazil, between 2012 e 2017 was performed with death 2018 (1,202,843 births and 447,687 deaths), a total 7282 deaths were identified (a rate 6.46 per 1000 live births). Births 2016 ( N =...

The dengue fever is today the most spread arbovirosis in Brazil. Transmitted only by female Aedes aegypti mosquito, it reaches its peek during hot and humid Brazilian summer season. While there are many approaches to analyze of fever, them focus on developing a mathematical model represent that process. One disadvantage such approach neglect importance micro-level behavior, focusing instead macro-level aspects system. This work proposes an agent-based arbovirosis, where agents interact...

Long-term research and environmental monitoring are essential for the improved management of ecosystems natural resources. However, to reuse this data new experiments, decision-making processes, integrate these with other long-term initiatives, scientists need more information related creation its evolution, intellectual property rights, technical in order evaluate use data. Provenance metadata emerges as a way quality reliability data, audit processes versioning, while enabling...

This paper proposes a dialogue based interface for virtual environments of learning with Multiagent approach.Here, it's shown both aspects involved the motivation and conception this project, conceptual technological aspect.In aspect, concepts related to distance process are presented in context interfaces environment education.In multi-agent systems, chatterbots systems AIML language applied needs.Finally, on these technologies, paper's contribution is project learning, middleware...

The IoT advancement generates a massive volume and variety of data at unprecedented velocity. There is need to interpret convert such into valuable information, enabling the discovery knowledge as well development new technologies products. From Data Science research field, Visual Analytics (VA) techniques seek support in analysis understanding large datasets using statistical mining, aided by visualization techniques. This paper demonstrates how VA can be applied projects users reason over...

Much has been advanced in the area of Smart Grids, and such progress not bigger only because related technology is usually restricted often relies on proprietary components. Using Agent-Based paradigm, we intend to build an open, scalable, interoperable Grid architecture complaince with IEEE FIPA specifications. In this paper, present a model for remote measurement environment order validate use agent Advanced Metering Infrastructure (AMI) systems.

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 4372-4377ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1095Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain

In this work we argue that the shift from computer networks to agent is an important improvement of network programming technology. Its due fact agents are well suited for modeling, designing and implementing scalable, flexible secure distributed systems over a computing environment. Based on agent-paradigm, our proposal make case study chatterbot prototype. This can be utilized in educational virtual environments provide interface guide student explanation FAQs.

The systematic assessment of cognitive performance older people without complaints is controversial and unfeasible. Identifying individuals at higher risk impairment could optimize resource allocation. We aimed to develop test machine learning models predict using variables obtainable in primary care settings. In this cross-sectional study, we included 8,291 participants the baseline ELSA-Brasil who were aged between 50 74 years free dementia. Cognitive was assessed with a neuropsychological...

Populational ageing has been increasing in a remarkable rate developing countries. In this scenario, preventive strategies could help to decrease the burden of higher demands for healthcare services. Machine learning algorithms have increasingly applied identifying priority candidates actions, presenting better predictive performance than traditional parsimonious models.Data were collected from Health, Well Being and Aging (SABE) Study, representative sample older residents São Paulo,...

This paper presents an analysis of tools from RoboCup Rescue Environment for the phenomenon fire spread based on simulations. It is intended to highlight features two tools: Agent Simulation and Swarm platform, simulating a in particular city. Two simulations had been run using unit: one with model that gives cannot be controlled by agents second which can control spread, providing environment framework future studies about connection between collective behavior. Also, this shows theoretical...

In the last decade, Science has been faced with an enormous amount of data from a wide range sources, such as Internet, social media, IoT devices, and so on. Increasingly it is essential to develop methods tools that enable most varied forms understanding transformation processes involved in experiment. The veracity dimension plays role meeting these needs, must be incorporated into management process. This paper presents proposal architecture model for Data Portal provides users ability...

Artificial intelligence (AI) algorithms are transforming several areas of the digital world and increasingly being applied in healthcare. Mobile apps based on predictive machine learning models have potential to improve health outcomes, but there is still no consensus how inform doctors about their results. The aim this study was investigate healthcare professionals prefer receive predictions generated by algorithms. A systematic search MEDLINE, via PubMed, EMBASE Web Science first...

The social network analysis (SNA), branch of complex systems can be used in the construction multiagent systems.This paper proposes a study how assist modeling systems, while addressing similarities and differences between two theories.We built prototype multi-agent for resolution tasks through formation teams agents that are formed on basis established agents.Agents make use performance indicators to assess when should change their maximize participation teams.