Perfil de mortalidade de pacientes com tuberculose relacionada à comorbidade tuberculose-Aids

OBJETIVO: Analisar o perfil dos óbitos entre pacientes com tuberculose, e descrever a co-infecção tuberculose-Aids e a causa básica de morte nas coortes anuais. MÉTODOS: Foi realizado estudo descritivo dos indivíduos residentes na cidade de Campinas, SP, que foram a óbito durante o tratamento para tuberculose e também dos pacientes notificados após o óbito, mesmo sem ter iniciado o tratamento. As informações foram obtidas do Banco de Dados em Tuberculose /Universidade Estadual de Campinas (Unicamp) e do Banco de Óbitos da Secretaria Municipal de Saúde/Unicamp. Para análise estatística utilizou-se o software Epi Info versão 6. Os óbitos foram agrupados em dois períodos (1993-1996 e 1997-2000) e as proporções, comparadas. RESULTADOS: Foram notificados 4.680 pacientes, totalizando 737 óbitos, com coeficiente de letalidade de 18,1%, de 1993 a 1996, e 13,5%, de 1997 a 2000. Em 78 óbitos (10,6%) a notificação foi no post mortem e não chegou a ser instituído tratamento específico. Verificou-se predomínio do sexo masculino (71,3%) nos dois períodos estudados. A comorbidade tuberculose-Aids esteve presente em 55% dos óbitos. O perfil etário diferiu segundo a presença ou não da Aids: em ambos os períodos, a mediana da idade nos óbitos com Aids esteve na faixa de 30 a 39 e entre 50 e 59 naqueles sem Aids. Os pacientes que nunca haviam sido tratados de tuberculose representaram 81,3% CONCLUSÕES: Destaca-se entre os achados a marcante redução do número de óbitos, a partir de 1997, que pode estar relacionada com a utilização da terapia anti-retroviral (HAART) para Aids.

Validação de métodos de estimativa da gordura corporal em portadores do HIV/Aids

OBJETIVO: Validar métodos de estimativas da gordura corporal (somatória de espessura de dobras cutâneas, circunferência da cintura (CC) e razão cintura-quadril (RCQ)) em portadores do HIV/Aids, tendo como padrão ouro a absortometria por dupla emissão de raios-X (Dexa) e a tomografia computadorizada de abdômen (TCA). MÉTODOS: Foram estudados 15 portadores do HIV/Aids tratados em uma unidade de saúde coligada a um hospital público universitário, São Paulo. Foram medidas a gordura subcutânea total (GST) mediante a somatória da espessura de sete dobras (bíceps, tríceps, subescapular, axilar média, supra-ilíaca, abdominal e panturrilha medial), a gordura subcutânea central (GSC) (somatória da espessura de quatro dobras) e a gordura subcutânea de membros (GSM) (somatória da espessura de três dobras). A GST, GSC e GSM foram comparadas com as medidas de gordura obtidas pela Dexa. A CC, a RCQ e a GSC foram comparadas com as medidas de gordura obtidas pela TCA. Na análise estatística, utilizou-se o coeficiente de correlação de Pearson (r) e foi utilizado o teste de Mann-Whitney. RESULTADOS: A gordura medida pela Dexa foi correlacionada com GST, a GSC e GSM, mesmo após o ajuste pela idade (r>0,80 para todos). A gordura total de abdômen medida pela TCA foi correlacionada com a CC, RCQ e a GSC após o ajuste pela idade (r>0,80 para todos). CONCLUSÕES: Os métodos de estimativa da gordura corporal devem ser escolhidos de acordo com o tipo de gordura a ser avaliada e podem ser utilizados em pesquisas e nos serviços de saúde como alternativa à Dexa e TCA para portadores do HIV/Aids.

Mortalidade por Aids e indicadores sociais no Município de São Paulo, 1994 a 2002

OBJETIVO: Analisar as correlações entre os coeficientes de mortalidade por Aids e os índices de inclusão/exclusão social, em homens e mulheres de 25 a 49 anos. MÉTODOS: O estudo foi realizado em 96 distritos administrativos do Município de São Paulo, no período de 1994 a 2002. Foram utilizados dados de óbitos do programa de aprimoramento das informações de mortalidade do Município e estimativas populacionais dos censos de 1991 e 2000 da Fundação Sistema Estadual de Análise de Dados (Seade) e Secretaria Municipal de Planejamento. Os índices foram obtidos do Mapa da Exclusão para a Cidade (1996 e 2000). Para a análise estatística foi utilizado o teste de correlação de Pearson (alfa=0,05). RESULTADOS: Entre os homens, observou-se correlação positiva significativa (p<0,05) entre a mortalidade por Aids e o índice de qualidade de vida dos distritos, de 1994 a 1998. Entre as mulheres, observou-se em todo o período correlação negativa significativa (p<0,05) entre a mortalidade por Aids e o índice de eqüidade, o qual mede a concentração de mulheres chefes de família/analfabetas. A partir de 2000, observou-se tendência à correlação negativa significativa (p<0,05) entre a mortalidade feminina por Aids e o índice global de exclusão social. CONCLUSÕES: Os resultados sugerem o deslocamento da mortalidade por Aids para áreas de exclusão e apontam para a hipótese de relação entre essa mortalidade e fatores socioeconômicos. Outros estudos epidemiológicos e no campo das ciências sociais são necessários para aprofundar essa investigação.

VirtualECare: group decision supported by idea generation and argumentation

In the last years there has been a considerable increase in the number of people in need of intensive care, especially among the elderly, a phenomenon that is related to population ageing (Brown 2003). However, this is not exclusive of the elderly, as diseases as obesity, diabetes, and blood pressure have been increasing among young adults (Ford and Capewell 2007). As a new fact, it has to be dealt with by the healthcare sector, and particularly by the public one. Thus, the importance of finding new and cost effective ways for healthcare delivery are of particular importance, especially when the patients are not to be detached from their environments (WHO 2004). Following this line of thinking, a VirtualECare Multiagent System is presented in section 2, being our efforts centered on its Group Decision modules (Costa, Neves et al. 2007) (Camarinha-Matos and Afsarmanesh 2001).On the other hand, there has been a growing interest in combining the technological advances in the information society - computing, telecommunications and knowledge – in order to create new methodologies for problem solving, namely those that convey on Group Decision Support Systems (GDSS), based on agent perception. Indeed, the new economy, along with increased competition in today’s complex business environments, takes the companies to seek complementarities, in order to increase competitiveness and reduce risks. Under these scenarios, planning takes a major role in a company life cycle. However, effective planning depends on the generation and analysis of ideas (innovative or not) and, as a result, the idea generation and management processes are crucial. Our objective is to apply the GDSS referred to above to a new area. We believe that the use of GDSS in the healthcare arena will allow professionals to achieve better results in the analysis of one’s Electronically Clinical Profile (ECP). This attainment is vital, regarding the incoming to the market of new drugs and medical practices, which compete in the use of limited resources.

Smart offices and intelligent decision rooms

Nowadays computing technology research is focused on the development of Smart Environments. Following that line of thought several Smart Rooms projects were developed and their appliances are very diversified. The appliances include projects in the context of workplace or everyday living, entertainment, play and education. These appliances envisage to acquire and apply knowledge about the environment state in order to reason about it so as to define a desired state for its inhabitants and perform adaptation adaptation to these desires and therefore improving their involvement and satisfaction with that environment.

A study on the authentication method for TAmI in ambient intelligence (secure group decision making toolkit)

It is difficult to get the decision about an opinion after many users get the meeting in same place. It used to spend too much time in order to find solve some problem because of the various opinions of each other. TAmI (Group Decision Making Toolkit) is the System to Group Decision in Ambient Intelligence [1]. This program was composed with IGATA [2], WebMeeting and the related Database system. But, because it is sent without any encryption in IP / Password, it can be opened to attacker. They can use the IP / Password to the bad purpose. As the result, although they make the wrong result, the joined member can’t know them. Therefore, in this paper, we studied the applying method of user’s authentication into TAmI.

Modelling group decision simulation through argumentation

Group decision making plays an important role in today’s organisations. The impact of decision making is so high and complex, that rarely the decision making process is made individually. In Group Decision Argumentation, there is a set of participants, with different profiles and expertise levels, that exchange ideas or engage in a process of argumentation and counter-argumentation, negotiate, cooperate, collaborate or even discuss techniques and/or methodologies for problem solving. In this paper, it is proposed a Multi-Agent simulator for the behaviour representation of group members in a decision making process. Agents behave depending on rational and emotional intelligence and use persuasive argumentation to convince and make alternative choices.

ABS4GD: a multi-agent system that simulates group decision processes considering emotional and argumentative aspects

Emotion although being an important factor in our every day life it is many times forgotten in the development of systems to be used by persons. In this work we present an architecture for a ubiquitous group decision support system able to support persons in group decision processes. The system considers the emotional factors of the intervenient participants, as well as the argumentation between them. Particular attention will be taken to one of components of this system: the multi-agent simulator, modeling the human participants, considering emotional characteristics, and allowing the exchanges of hypothetic arguments among the participants.

Ambient intelligence in emotion based ubiquitous decision making

As the time goes on, it is a question of common sense to involve in the process of decision making people scattered around the globe. Groups are created in a formal or informal way, exchange ideas or engage in a process of argumentation and counterargumentation, negotiate, cooperate, collaborate or even discuss techniques and/or methodologies for problem solving. In this work it is proposed an agent-based architecture to support a ubiquitous group decision support system, i.e. based on the concept of agent, which is able to exhibit intelligent, and emotional-aware behaviour, and support argumentation, through interaction with individual persons or groups. It is enforced the paradigm of Mixed Initiative Systems, so the initiative is to be pushed by human users and/or intelligent agents.

Personality, emotion and mood simulation in decision making

In this paper is proposed the integration of personality, emotion and mood aspects for a group of participants in a decision-making negotiation process. The aim is to simulate the participant behavior in that scenario. The personality is modeled through the OCEAN five-factor model of personality (Openness, Conscientiousness, Extraversion, Agreeableness and Negative emotionality). The emotion model applied to the participants is the OCC (Ortony, Clore and Collins) that defines several criteria representing the human emotional structure. In order to integrate personality and emotion is used the pleasure-arousal-dominance (PAD) model of mood.

Hardware and software in smart decision rooms

Since the last decade research in Group Decision Making area have been focus in the building of meeting rooms that could support the decision making task and improve the quality of those decisions. However the emergence of Ambient Intelligence concept contributes with a new perspective, a different way of viewing traditional decision rooms. In this paper we will present an overview of Smart Decision Rooms providing Intelligence to the meeting environment, and we will also present LAID, an Ambient Intelligence Environment oriented to support Group Decision Making and some of the software tools that we already have installed in this environment.

Personality, emotion, and mood in agent-based group decision making

Group decision making plays an important role in organizations, especially in the present-day economy that demands high-quality, yet quick decisions. Group decision-support systems (GDSSs) are interactive computer-based environments that support concerted, coordinated team efforts toward the completion of joint tasks. The need for collaborative work in organizations has led to the development of a set of general collaborative computer-supported technologies and specific GDSSs that support distributed groups (in time and space) in various domains. However, each person is unique and has different reactions to various arguments. Many times a disagreement arises because of the way we began arguing, not because of the content itself. Nevertheless, emotion, mood, and personality factors have not yet been addressed in GDSSs, despite how strongly they influence results. Our group’s previous work considered the roles that emotion and mood play in decision making. In this article, we reformulate these factors and include personality as well. Thus, this work incorporates personality, emotion, and mood in the negotiation process of an argumentbased group decision-making process. Our main goal in this work is to improve the negotiation process through argumentation using the affective characteristics of the involved participants. Each participant agent represents a group decision member. This representation lets us simulate people with different personalities. The discussion process between group members (agents) is made through the exchange of persuasive arguments. Although our multiagent architecture model4 includes two types of agents—the facilitator and the participant— this article focuses on the emotional, personality, and argumentation components of the participant agent.

Context-aware emotion-based model for group decision making

Involving groups in important management processes such as decision making has several advantages. By discussing and combining ideas, counter ideas, critical opinions, identified constraints, and alternatives, a group of individuals can test potentially better solutions, sometimes in the form of new products, services, and plans. In the past few decades, operations research, AI, and computer science have had tremendous success creating software systems that can achieve optimal solutions, even for complex problems. The only drawback is that people don’t always agree with these solutions. Sometimes this dissatisfaction is due to an incorrect parameterization of the problem. Nevertheless, the reasons people don’t like a solution might not be quantifiable, because those reasons are often based on aspects such as emotion, mood, and personality. At the same time, monolithic individual decisionsupport systems centered on optimizing solutions are being replaced by collaborative systems and group decision-support systems (GDSSs) that focus more on establishing connections between people in organizations. These systems follow a kind of social paradigm. Combining both optimization- and socialcentered approaches is a topic of current research. However, even if such a hybrid approach can be developed, it will still miss an essential point: the emotional nature of group participants in decision-making tasks. We’ve developed a context-aware emotion based model to design intelligent agents for group decision-making processes. To evaluate this model, we’ve incorporated it in an agent-based simulator called ABS4GD (Agent-Based Simulation for Group Decision), which we developed. This multiagent simulator considers emotion- and argument based factors while supporting group decision-making processes. Experiments show that agents endowed with emotional awareness achieve agreements more quickly than those without such awareness. Hence, participant agents that integrate emotional factors in their judgments can be more successful because, in exchanging arguments with other agents, they consider the emotional nature of group decision making.

LAID - a smart decision room with ambient intelligence for group decision making and argumentation support considering emotional aspects

Decision Making is one of the most important activities of the human being. Nowadays decisions imply to consider many different points of view, so decisions are commonly taken by formal or informal groups of persons. Groups exchange ideas or engage in a process of argumentation and counter-argumentation, negotiate, cooperate, collaborate or even discuss techniques and/or methodologies for problem solving. Group Decision Making is a social activity in which the discussion and results consider a combination of rational and emotional aspects. In this paper we will present a Smart Decision Room, LAID (Laboratory of Ambient Intelligence for Decision Making). In LAID environment it is provided the support to meeting room participants in the argumentation and decision making processes, combining rational and emotional aspects.

Modeling group decision meeting participants with an Agent-based approach

This paper aims to present a multi-agent model for a simulation, whose goal is to help one specific participant of multi-criteria group decision making process.This model has five main intervenient types: the human participant, who is using the simulation and argumentation support system; the participant agents, one associated to the human participant and the others simulating the others human members of the decision meeting group; the directory agent; the proposal agents, representing the different alternatives for a decision (the alternatives are evaluated based on criteria); and the voting agent responsiblefor all voting machanisms.At this stage it is proposed a two phse algorithm. In the first phase each participantagent makes his own evaluation of the proposals under discussion, and the voting agent proposes a simulation of a voting process.In the second phase, after the dissemination of the voting results,each one ofthe partcipan agents will argue to convince the others to choose one of the possible alternatives. The arguments used to convince a specific participant are dependent on agent knowledge about that participant. This two-phase algorithm is applied iteratively.