Classification of healthcare data using genetic fuzzy logic system and wavelets

Healthcare plays an important role in promoting the general health and well-being of people around the world. The difficulty in healthcare data classification arises from the uncertainty and the high-dimensional nature of the medical data collected. This paper proposes an integration of fuzzy standard additive model (SAM) with genetic algorithm (GA), called GSAM, to deal with uncertainty and computational challenges. GSAM learning process comprises three continual steps: rule initialization by unsupervised learning using the adaptive vector quantization clustering, evolutionary rule optimization by GA and parameter tuning by the gradient descent supervised learning. Wavelet transformation is employed to extract discriminative features for high-dimensional datasets. GSAM becomes highly capable when deployed with small number of wavelet features as its computational burden is remarkably reduced. The proposed method is evaluated using two frequently-used medical datasets: the Wisconsin breast cancer and Cleveland heart disease from the UCI Repository for machine learning. Experiments are organized with a five-fold cross validation and performance of classification techniques are measured by a number of important metrics: accuracy, F-measure, mutual information and area under the receiver operating characteristic curve. Results demonstrate the superiority of the GSAM compared to other machine learning methods including probabilistic neural network, support vector machine, fuzzy ARTMAP, and adaptive neuro-fuzzy inference system. The proposed approach is thus helpful as a decision support system for medical practitioners in the healthcare practice.

National indicators of health literacy: ability to understand health information and to engage actively with healthcare providers - a population-based survey among Danish adults

Health literacy is a multidimensional concept covering a range of cognitive and social skills necessary for participation in health care. Knowledge of health literacy levels in general populations and how health literacy levels impacts on social health inequity is lacking. The primary aim of this study was to perform a population-based assessment of dimensions of health literacy related to understanding health information and to engaging with healthcare providers. Secondly, the aim was to examine associations between socio-economic characteristics with these dimensions of health literacy.

Energy performance of medium-sized healthcare buildings in Victoria, Australia- a case study

This paper investigates the energy performance of three medium-sized healthcare buildings in Victoria, Australia, that operate only during the daytime. The aim is to provide preliminary understanding of energy consumption in this particular typology in Australia in relation to the available benchmarks. This paper also identifies the differences of energy consumption between different functional areas within medium health facilities. Building features and operational characteristics contributing to the variations in healthcare energy performance are discussed. The total annual energy consumption data ranging from 167-306 kWh/m(2) or 42-72 kWh/m(3) were compared against international data from various climatic zones. Some of the drivers of energy consumption were determined and potentials for energy and water conservation were identified. Comparison with international standards shows a possibility to achieve lower energy consumption in Victorian healthcare buildings.

The National Safety and Quality Health Service Standards requirements for orientation and induction within Australian healthcare: a review of the literature

Introduction: A workplace orientation program is a core requirement of the National Safety and Quality Health Service (NSQHS) Standards in Australia. This is particularly important within healthcare as patient safety and the patient experience are at risk if the healthcare workforce is not supported with an effective orientation and induction program. Aim: This study aimed to review the literature and map the requirements of the NSQHS Standards in relation to orientation and induction. Method: This study utilised online databases to search for literature pertaining to orientation and induction within healthcare. Inclusion criteria included relevance to research questions, and originating in a country with a comparative health system to Australia. Results: The search identified a total of 202 articles of potential relevance with 42 articles meeting the inclusion criteria. Articles were ranked according to hierarchy of evidence criteria for both qualitative and quantitative studies. The importance of using orientation to detail safety and quality roles, the organisations' risk management system, governance structure, operational processes and procedures was highlighted. Patient-centred care, antimicrobial stewardship, clinical handover and mechanisms for escalation of care and emergency assistance should also be covered within the orientation process. Conclusion: There is a dearth of studies in relation to orientation and induction in the healthcare literature. Orientation content is now clearly prescribed, what is lacking within healthcare is a standardised framework. Concept mapping, educational theory and adult learning methods have been shown to enhance workforce problem solving and engagement with orientation, however further research is needed to enhance practice

Interventions to improve cultural competency in healthcare: a systematic review of reviews

Cultural competency is a recognized and popular approach to improving the provision of health care to racial/ethnic minority groups in the community with the aim of reducing racial/ethnic health disparities. The aim of this systematic review of reviews is to gather and synthesize existing reviews of studies in the field to form a comprehensive understanding of the current evidence base that can guide future interventions and research in the area.

Recent trends in nanomaterials immobilised enzymes for biofuel production

Application of nanomaterials as novel supporting materials for enzyme immobilisation has generated incredible interest in the biotechnology community. These robust nanostructured forms, such as nanoparticles, nanofibres, nanotubes, nanoporous, nanosheets, and nanocomposites, possess a high surface area to volume ratios that can cause a high enzyme loading and facilitate reaction kinetics, thus improving biocatalytic efficiency for industrial applications. In this article, we discuss research opportunities of nanoscale materials in enzyme biotechnology and highlight recent developments in biofuel production using advanced material supports for enzyme immobilisation and stabilisation. Synthesis and functionalisation of nanomaterial forms using different methods are highlighted. Various simple and effective strategies designed to result in a stable, as well as functional protein-nanomaterial conjugates are also discussed. Analytical techniques confirming enzyme loading on nanomaterials and assessing post-immobilisation changes are discussed. The current status of versatile nanomaterial support for biofuel production employing cellulases and lipases is described in details. This report concludes with a discussion on the likely outcome that nanomaterials will become an integral part of sustainable bioenergy production.

Discovering implicit criteria preferences reflected in tourism journal ranking lists using the Choquet Integral

Variations between journal rankings may cause confusion. As such, prior attempts were made to compare and evaluate journal ranking criteria for obtaining insightful knowledge on how different research communities have ranked journals. However, existing approaches are unable to model the journal ranking process closely enough as they are incapable of considering the relationship between multiple criteria simultaneously. In this paper, we address the challenges by introducing the Choquet Integral (CI) for evaluating journal ranking criteria. The new approach is able to account for interactions between criteria in relation to overall ranking score, using a fuzzy measure in its computation. Its properties, the Shapley value and the Interaction index, allow for good representations of importance and interactions between criteria. We demonstrate the efficiency of the CI through a case study of journal ranking lists in tourism and service journals.

Self-reported access to and quality of healthcare for diabetes : Do the severely obese experience equal access?

Background: Given reported pejorative views that health professionals have about patients who are severely obese, we examined the self-reported views of the quality and availability of diabetes care from the perspective of adults with type 2 diabetes (T2DM), stratified by body mass index (BMI). Methods: 1795 respondents to the Diabetes MILES - Australia national survey had T2DM. Of these, 530 (30%) were severely obese (BMI ≥35 kg/m2) and these participants were matched with 530 controls (BMI <35 kg/m2). Data regarding participants' self-reported interactions with health practitioners and services were compared. Results: Over 70% of participants reported that their general practitioner was the professional they relied on most for diabetes care. There were no betweengroup differences in patient-reported availability of health services, quality of interaction with health practitioners, resources and support for selfmanagement, or access to almost all diabetes services. Discussion: Participants who were severely obese did not generally report greater difficulty in accessing diabetes care.

Intervention-driven predictive framework for modeling healthcare data

Assessing prognostic risk is crucial to clinical care, and critically dependent on both diagnosis and medical interventions. Current methods use this augmented information to build a single prediction rule. But this may not be expressive enough to capture differential effects of interventions on prognosis. To this end, we propose a supervised, Bayesian nonparametric framework that simultaneously discovers the latent intervention groups and builds a separate prediction rule for each intervention group. The prediction rule is learnt using diagnosis data through a Bayesian logistic regression. For inference, we develop an efficient collapsed Gibbs sampler. We demonstrate that our method outperforms baselines in predicting 30-day hospital readmission using two patient cohorts - Acute Myocardial Infarction and Pneumonia. The significance of this model is that it can be applied widely across a broad range of medical prognosis tasks. © 2014 Springer International Publishing.

Building healthcare workers' confidence to work with same-sex parented families.

This article reports on a qualitative study of barriers and access to healthcare for same-sex attracted parents and their children. Focus groups were held with same-sex attracted parents to explore their experiences with healthcare providers and identify barriers and facilitators to access. Parents reported experiencing uncomfortable or anxiety-provoking encounters with healthcare workers who struggled to adopt inclusive or appropriate language to engage their family. Parents valued healthcare workers who were able to be open and honest and comfortably ask questions about their relationships and family. A separate set of focus groups were held with mainstream healthcare workers to identity their experiences and concerns about delivering equitable and quality care for same-sex parented families. Healthcare workers reported lacking confidence to actively engage with same-sex attracted parents and their children. This lack of confidence related to workers' unfamiliarity with same-sex parents, or lesbian, gay and bisexual culture, and limited opportunities to gain information or training in this area. Workers were seeking training and resources that offered information about appropriate language and terminology as well as concrete strategies for engaging with same-sex parented families. For instance, workers suggested they would find it useful to have a set of 'door opening' questions they could utilize to ask clients about their sexuality, relationship status or family make-up. This article outlines a set of guidelines for healthcare providers for working with same-sex parented families which was a key outcome of this study.