An ontological approach to personalized medical knowledge matching

Knowledge management has become a promising method in supporting the clinicians′ decisions and improving the quality of medical services in the constantly changing clinical environment. However, current medical knowledge management systems cannot understand users′ requirements accurately and realize personalized matching. Therefore this paper proposes an ontological approach based on semiotic principles to personalized medical knowledge matching. In particular, healthcare domain knowledge is conceptualized and an ontology-based user profile is built. Furthmore, the personalized matching mechanism and algorithm are illustrated.

A scalable expressive ensemble learning using Random Prism: a MapReduce approach

The induction of classification rules from previously unseen examples is one of the most important data mining tasks in science as well as commercial applications. In order to reduce the influence of noise in the data, ensemble learners are often applied. However, most ensemble learners are based on decision tree classifiers which are affected by noise. The Random Prism classifier has recently been proposed as an alternative to the popular Random Forests classifier, which is based on decision trees. Random Prism is based on the Prism family of algorithms, which is more robust to noise. However, like most ensemble classification approaches, Random Prism also does not scale well on large training data. This paper presents a thorough discussion of Random Prism and a recently proposed parallel version of it called Parallel Random Prism. Parallel Random Prism is based on the MapReduce programming paradigm. The paper provides, for the first time, novel theoretical analysis of the proposed technique and in-depth experimental study that show that Parallel Random Prism scales well on a large number of training examples, a large number of data features and a large number of processors. Expressiveness of decision rules that our technique produces makes it a natural choice for Big Data applications where informed decision making increases the user’s trust in the system.

Targeting medication non-adherence behavior in selected autoimmune diseases: a systematic approach to digital health program development

Background 29 autoimmune diseases, including Rheumatoid Arthritis, gout, Crohn’s Disease, and Systematic Lupus Erythematosus affect 7.6-9.4% of the population. While effective therapy is available, many patients do not follow treatment or use medications as directed. Digital health and Web 2.0 interventions have demonstrated much promise in increasing medication and treatment adherence, but to date many Internet tools have proven disappointing. In fact, most digital interventions continue to suffer from high attrition in patient populations, are burdensome for healthcare professionals, and have relatively short life spans. Objective Digital health tools have traditionally centered on the transformation of existing interventions (such as diaries, trackers, stage-based or cognitive behavioral therapy programs, coupons, or symptom checklists) to electronic format. Advanced digital interventions have also incorporated attributes of Web 2.0 such as social networking, text messaging, and the use of video. Despite these efforts, there has not been little measurable impact in non-adherence for illnesses that require medical interventions, and research must look to other strategies or development methodologies. As a first step in investigating the feasibility of developing such a tool, the objective of the current study is to systematically rate factors of non-adherence that have been reported in past research studies. Methods Grounded Theory, recognized as a rigorous method that facilitates the emergence of new themes through systematic analysis, data collection and coding, was used to analyze quantitative, qualitative and mixed method studies addressing the following autoimmune diseases: Rheumatoid Arthritis, gout, Crohn’s Disease, Systematic Lupus Erythematosus, and inflammatory bowel disease. Studies were only included if they contained primary data addressing the relationship with non-adherence. Results Out of the 27 studies, four non-modifiable and 11 modifiable risk factors were discovered. Over one third of articles identified the following risk factors as common contributors to medication non-adherence (percent of studies reporting): patients not understanding treatment (44%), side effects (41%), age (37%), dose regimen (33%), and perceived medication ineffectiveness (33%). An unanticipated finding that emerged was the need for risk stratification tools (81%) with patient-centric approaches (67%). Conclusions This study systematically identifies and categorizes medication non-adherence risk factors in select autoimmune diseases. Findings indicate that patients understanding of their disease and the role of medication are paramount. An unexpected finding was that the majority of research articles called for the creation of tailored, patient-centric interventions that dispel personal misconceptions about disease, pharmacotherapy, and how the body responds to treatment. To our knowledge, these interventions do not yet exist in digital format. Rather than adopting a systems level approach, digital health programs should focus on cohorts with heterogeneous needs, and develop tailored interventions based on individual non-adherence patterns.

Computer-Assisted Approach to Structural Elucidation of Lignans

This paper reports an expert system (SISTEMAT) developed for structural determination of diverse chemical classes of natural products, including lignans, based mainly on 13C NMR and 1H NMR data of these compounds. The system is composed of five programs that analyze specific data of a lignan and shows a skeleton probability for the compound. At the end of analyses, the results are grouped, the global probability is computed, and the most probable skeleton is exhibited to the user. SISTEMAT was able to properly predict the skeletons of 80% of the 30 lignans tested, demonstrating its advantage during the structural elucidation course in a short period of time.

Understanding older people’s experiences of home care through the capability approach

The core concepts of CA In the theoretical framework of CA, well-being is constituted by a person’s unique way of functioning and capabilities. This means that a person's well-being is personal and involves freedom of choice which in turn means they have a number of options. Although many people may have the same resources, it is of importance to study how these resources are converted into how they function. Thus, wellbeing is about the person's freedom to achieve in general and the capabilities to function in particular (Sen, 1995). Strength of the capability approach The capability approach is a useful tool for matching objective evaluations with subjective metrics. Furthermore, although one’s individual abilities are in focus, contextual factors, and subjective perceptions and experiences, are taken into consideration. Critiques against the CA The capability approach has been criticized for being too individual-centered and not taking sufficient account to social structures in society. It is difficult to know what a person would choose to do if other options were available. Therefore, to operationalize abilities involves uncertainties.

Transparent Provenance Derivation for User Decisions

It is rare for data's history to include computational processes alone. Even when software generates data, users ultimately decide to execute software procedures, choose their configuration and inputs, reconfigure, halt and restart processes, and so on. Understanding the provenance of data thus involves understanding the reasoning of users behind these decisions, but demanding that users explicitly document decisions could be intrusive if implemented naively, and impractical in some cases. In this paper, therefore, we explore an approach to transparently deriving the provenance of user decisions at query time. The user reasoning is simulated, and if the result of the simulation matches the documented decision, the simulation is taken to approximate the actual reasoning. The plausibility of this approach requires that the simulation mirror human decision -making, so we adopt an automated process explicitly modelled on human psychology. The provenance of the decision is modelled in OPM, allowing it to be queried as part of a larger provenance graph, and an OPM profile is provided to allow consistent querying of provenance across user decisions.

An Agent-Based Approach to Real-Time Patient Identification for Clinical Trials

Patient recruitment for clinical trials is expensive and has been a significant challenge, with many trials not achieving their recruitment goals. One method that shows promise for improving recruitment is the use of interactive prompts that inform practitioners of patient eligibility for clinical trials during consultation. This paper presents the ePCRN-IDEA recruitment system, which utilises an agent-based infrastructure to enable real-time recruitment of patients. In essence, whenever patients enter a clinic, the system compares their details against eligibility criteria, which define the requirements of active clinical trials. If a patient is found to be eligible, a prompt is raised to notify the user. In this way, it becomes possible for recruitment to take place quickly in a cost effective manner, whilst maintaining patient trust through the involvement of their own health care practitioner.

A Resource Centric Approach For Advancing Collaboration Through Hydrologic Data And Model Sharing

HydroShare is an online, collaborative system being developed for open sharing of hydrologic data and models. The goal of HydroShare is to enable scientists to easily discover and access hydrologic data and models, retrieve them to their desktop or perform analyses in a distributed computing environment that may include grid, cloud or high performance computing model instances as necessary. Scientists may also publish outcomes (data, results or models) into HydroShare, using the system as a collaboration platform for sharing data, models and analyses. HydroShare is expanding the data sharing capability of the CUAHSI Hydrologic Information System by broadening the classes of data accommodated, creating new capability to share models and model components, and taking advantage of emerging social media functionality to enhance information about and collaboration around hydrologic data and models. One of the fundamental concepts in HydroShare is that of a Resource. All content is represented using a Resource Data Model that separates system and science metadata and has elements common to all resources as well as elements specific to the types of resources HydroShare will support. These will include different data types used in the hydrology community and models and workflows that require metadata on execution functionality. The HydroShare web interface and social media functions are being developed using the Drupal content management system. A geospatial visualization and analysis component enables searching, visualizing, and analyzing geographic datasets. The integrated Rule-Oriented Data System (iRODS) is being used to manage federated data content and perform rule-based background actions on data and model resources, including parsing to generate metadata catalog information and the execution of models and workflows. This presentation will introduce the HydroShare functionality developed to date, describe key elements of the Resource Data Model and outline the roadmap for future development.

Assistência de enfermagem às urgências e emergências psiquiátricas no serviço de atendimento móvel de urgência em Mossoró-RN

This study aims to identify the concepts of professional nursing team on assistance in urgency and psychiatric emergencies in SAMU in Mossoró/RN, identifying the difficulties in implementing an emergency assistance to the user in psychiatric distress in this service and point strategies in pursuit of consolidation and expansion of comprehensive health care to the public. It is a descriptive research with qualitative and exploratory approach. The subjects were employees of the nursing staff of SAMU of that mentioned municipality. Semi-structured interviews are applied as tool for data collection. It was counted on the consent of the institution where the study was developed and approval by the Ethics Committee in Research of UFRN with CAAE No 17326513.0.0000.5537, besides signing the Informed Free Consent Term by the participants. Data analysis was done by means of thematic analysis proposed by Bardin. Thus , as a result of the research produced the following categories: mechanistic practice; dehumanization of care; need for qualification, barriers to assistance in urgency and psychiatric emergency and strategies in pursuit of comprehensive care, which proceeded in preparing two articles entitled "Nursing care to the emergency room and psychiatric emergencies in the mobile emergency care service" and "Barriers for emergency service and psychiatric emergencies in the mobile emergency care service". In the studied reality it was identified that nursing care offered to users in situations of urgency and psychiatric emergency is made based primarily on the use of chemical and physical restraints, as well as transportation to the general hospital, constantly using the police force support, which meets the guidelines of the Psychiatric Reform and thereby undermining the provision of an effective and humane care. This scenario is worsened by the lack of an organized network of services in mental health, where after the service the user is taken to a general hospital, considering that there is no ready or appropriate psychiatric emergency service as a Center of Psychosocial Care - CAPs III to reference it, thereby precluding the realization of a resolute and comprehensive care. Thus, it is concluded that nursing care is based on biologicist and medicine-centered model advocated by classical psychiatry, and that despite all the advances in psychiatric reform, still guides the mental health care, so the lack of service network organized in hierarchical and mental health, where the user in urgency and emergency service can be watched in full and the guidelines of the psychiatric reform can be realized in practice

Os Centros de Especialidades Odontológicas como suporte da atenção básica: uma avaliação na perspectiva da integralidade

The public dental services in Brazil were limited, practically, to the basic care, so that the specialized services acted, up to 2002, no more than 3,5% of the total of clinical procedures. That lower offer reveals the difficulty of continuity of the attention, that is, the comprehensiveness in the assistance, particulary, the reference and counter-reference system. Brasil Sorridente search to supply those needs when proposing Speciality Dental's Centers(CEOs Centros de Especialidades Odontológicas, Brazil) to compose the services of average complexity. In 2005, Ministry of Health enabled the three CEOs of Natal, located in the North II, East and West Sanitary Districts. This investigation evaluated the implantation of these CEOs, as support of the family health care teams, in the perspective of organization of the services in assistencial nets in Natal/RN. It was a study of evaluation, with qualitative approach and some quantitative data as contribution. Dentists, users and managers were interviewed to identify and to understand their perceptions, relationships and experiences in the daily of the services. The conceptual base that orientated the investigation was the principle of comprehensiveness, in its operational sense of the hierarchization in health attention levels. The collection of data was done with documental research, direct observation and semi-structured interview. The analysis was accomplished by triangulation of the extracted content from the used techniques and sources of interviewed groups depositions, looking for theoretical-conceptual support in specific bibliography. The results pointed aspects that go away from the comprehensiveness like: low resolution of problems in the basic net; little valorization of the space in the health units; traditional models of access to health services, insufficient offer for some specialties, compromising the reference and counter-reference system; practices centered in procedures in the CEO; bureaucratic directions from basic care to the specialized service; disintegrated and disjointed system among levels of attention; disrespect to the municipal protocol. On the other hand, there is an approach of compreensiveness in situations like: increase of the access and covering in the Family Health Strategy (ESF Estratégia Saúde da Família, Brazil); larger approach between professional and user; tendency to the quantitative and qualitative growth of specialized actions; punctual initiatives of relationships among levels; existence of protocol to guide professionals

Power flow for primary distribution networks considering uncertainty in demand and user connection

This paper presents a method for calculating the power flow in distribution networks considering uncertainties in the distribution system. Active and reactive power are used as uncertain variables and probabilistically modeled through probability distribution functions. Uncertainty about the connection of the users with the different feeders is also considered. A Monte Carlo simulation is used to generate the possible load scenarios of the users. The results of the power flow considering uncertainty are the mean values and standard deviations of the variables of interest (voltages in all nodes, active and reactive power flows, etc.), giving the user valuable information about how the network will behave under uncertainty rather than the traditional fixed values at one point in time. The method is tested using real data from a primary feeder system, and results are presented considering uncertainty in demand and also in the connection. To demonstrate the usefulness of the approach, the results are then used in a probabilistic risk analysis to identify potential problems of undervoltage in distribution systems. (C) 2012 Elsevier Ltd. All rights reserved.

Gestão Sustentável da água: um estudo da conscientização ambiental em atividades residenciais urbanas

The search for sustainable solutions through an appropriate environmental administration of the available natural resources, that comes from encounter to the aspirations of preservation of the environment and of the human being, in way to diagnose and to solve the environmental and social problems with the smallest possible impact to the nature and the man, it is the great challenge, so much for that generation, as for the future generations. The study of the environmental problems of the water and the participation and the social actors' environmental understanding as a whole, interferes in the field of the thematic environmental international, contemplating the strategic need of an appropriate administration of that very natural one, through a program returned to the diagnosis of the problems and in the search of compatible maintainable solutions, in a social and environmental politics of planning and environmental education, centered above all in the citizen's voice , user of that system. The present thesis she seeks to study the problem of the maintainable administration of the water, focusing the participation and the citizen's environmental understanding in the use of that very natural one for urban residential activities, in what concerns the approach and analyses of variables that treat of the measurement of general knowledge and you adapt, sense of community of the access to the means of information and of the attitudes and environmental behaviors, besides the variables of partner-demographic characterization or personal identification of the interviewed ones of an exploratory research of the type " survey ", accomplished through a stratified aleatory sampling, being the strata each one of the 4 (four) Political-Administrative Areas of the Natal city, having happened the collection of the data in the period of february to april/2002. The methodology used in this work it constitutes in the application of questionnaires with scales of the type Likert to measure the echo-varied of the study, besides a partner-demographic scale for the characterization of the studied sample. For the analysis of the results, it was made an exploratory descriptive study initially, followed by the use of techniques statistical multivariate s, such as, factorial analysis through the application of main components, besides the accomplishment of studies of multiple lineal regression. To complement this study, the accomplishment of Tests of Independence was proceeded through the Qui-square of Pearson, in way to verify the dependence of the associations between the partner-demographic variables and the principal selected variables and presents in the resulting factors of the factorial analysis. The results appear for a low level of environmental knowledge, of access to the information and community's sense, besides the verification that the principal factors resultants send for the need of feeling emphasis in the programs and administration actions addressed for the environmental understanding, the behaviors and attitudes that approach the information and the environmental education, besides the reuse of the water

LUTS: A lightweight user-level transaction scheduler

Software Transactional Memory (STM) systems have poor performance under high contention scenarios. Since many transactions compete for the same data, most of them are aborted, wasting processor runtime. Contention management policies are typically used to avoid that, but they are passive approaches as they wait for an abort to happen so they can take action. More proactive approaches have emerged, trying to predict when a transaction is likely to abort so its execution can be delayed. Such techniques are limited, as they do not replace the doomed transaction by another or, when they do, they rely on the operating system for that, having little or no control on which transaction should run. In this paper we propose LUTS, a Lightweight User-Level Transaction Scheduler, which is based on an execution context record mechanism. Unlike other techniques, LUTS provides the means for selecting another transaction to run in parallel, thus improving system throughput. Moreover, it avoids most of the issues caused by pseudo parallelism, as it only launches as many system-level threads as the number of available processor cores. We discuss LUTS design and present three conflict-avoidance heuristics built around LUTS scheduling capabilities. Experimental results, conducted with STMBench7 and STAMP benchmark suites, show LUTS efficiency when running high contention applications and how conflict-avoidance heuristics can improve STM performance even more. In fact, our transaction scheduling techniques are capable of improving program performance even in overloaded scenarios. © 2011 Springer-Verlag.

An approach to implement data fusion techniques in wireless sensor networks using genetic machine learning algorithms

Wireless Sensor Networks (WSNs) can be used to monitor hazardous and inaccessible areas. In these situations, the power supply (e.g. battery) of each node cannot be easily replaced. One solution to deal with the limited capacity of current power supplies is to deploy a large number of sensor nodes, since the lifetime and dependability of the network will increase through cooperation among nodes. Applications on WSN may also have other concerns, such as meeting temporal deadlines on message transmissions and maximizing the quality of information. Data fusion is a well-known technique that can be useful for the enhancement of data quality and for the maximization of WSN lifetime. In this paper, we propose an approach that allows the implementation of parallel data fusion techniques in IEEE 802.15.4 networks. One of the main advantages of the proposed approach is that it enables a trade-off between different user-defined metrics through the use of a genetic machine learning algorithm. Simulations and field experiments performed in different communication scenarios highlight significant improvements when compared with, for instance, the Gur Game approach or the implementation of conventional periodic communication techniques over IEEE 802.15.4 networks. © 2013 Elsevier B.V. All rights reserved.

Entrada vocabular na linguagem virtual

Pós-graduação em Letras - FCLAS