Data Mining in Healthcare: A Survey of Techniques and Algorithms with its Limitations and Challenges

The large amount of data in healthcare industry is a key resource to be processed and analyzed for knowledge extraction. The knowledge discovery is the process of making low-level data into high-level knowledge. Data mining is a core component of the KDD process. Data mining techniques are used in healthcare management which improve the quality and decrease the cost of healthcare services. Data mining algorithms are needed in almost every step in KDD process ranging from domain understanding to knowledge evaluation. It is necessary to identify and evaluate the most common data mining algorithms implemented in modern healthcare services. The need is for algorithms with very high accuracy as medical diagnosis is considered as a significant yet obscure task that needs to be carried out precisely and efficiently

Survey of Rough and Fuzzy Hybridization

In this research existing barriers and the influence of product’s functional lifecycle on the adoption of circular revenue models in the civil and non-residential building sector was investigated. A revenue model, i.e. how revenues are generated in a business model, becomes circular if it is used to extend producer responsibility to create financial incentives for producers to benefit from making their product more circular. For example, leasing or a buy-back scheme in theory creates an incentive for producers to, amongst others, make the product last longer, to be maintained more easily and to be returned. In the Dutch national policy documents there is a call for the development of circular revenue models to extend producer responsibility in the construction sector, as the construction sector is highlighted as a key sector in terms of environmental impact. Adopting circular revenue models in the construction has so far not been research, however expectations about barriers towards adopting circular revenue models can be derived from related literature. The civil and non-residential building sub-sector of the construction sector is of special interest as this subsector has specific characteristics that were expected to create barriers towards adopting circular revenue models: ownership rights and the long functional lifecycle of products (e.g. buildings). This led to the main research question: “What are the barriers to the adoption of circular revenue models in the civil- and non-residential building sector?” The long functional lifecycle of buildings is of special interest as literature suggests that buildings are made from products with different functional lifecycles. This led to led to an additional sub question: “What is the influence of product’s functional lifecycle on the adoption of circular revenue models in the civil and non-residential building sector?” To answer both research questions, the research was split up into three phases. First, semi-structured interviews were held with practitioners, e.g. companies that have adopted, or are working on adopting, circular revenue models. Based upon the results, a second round of interviews was held with experts to better understand the barriers and gather more in-depth insights. The topics chosen for this round were based on the results from the practitioners. The third research phase was a focus group session held primarily with respondents from the expert and practitioner interviews. During the focus group preliminary results were presented and several topics were discussed. During this research 25 barriers, such as a maximum duration for contracts, short-term thinking and the adoption of measurement methods, towards adopting circular revenue models in the civil and non-residential building sector were found, which fit under five main categories in order of importance: financial, sector-specific, regulatory, organisational and technical barriers. Furthermore, seven additional barriers were found when adopting circular revenue models in which producers retain ownership. This shows that there are many barriers that hinder the adoption of circular revenue models in the civil and non-residential building sector, especially when adopting circular revenue models where producers retain ownership. Furthermore, during this research it was found that the shorter the functional lifecycle of building layers, the more easy the adoption of circular revenue models becomes, because, amongst others, financing for longer that 15 years is difficult and two parties to not like to be mutually dependents upon each other over long time periods. In increasing order of difficulty circular revenue models can be adopted to the building layers with longer functional lifecycles: space plan, services, skin and structure. During the research a consensus amongst respondents was identified that circular revenue models should not be adopted to the structure, as the functional lifecycle was too long. In addition to the functional lifecycle, four additional variables were identified that emphasise why the adoption of circular revenue models to building layers with shorter functional lifecycles is more interesting: ratio CAPEX/OPEX, flexibility of products, focus on investor or user and complexity of products

Un algoritmo genético que reúne y optimiza criterios médicos mundiales en el diagnóstico del síndrome metabólico

Según los últimos estudios de la OMS, la diabetes mellitus está en aumento. Ha superado los 422 millones de pacientes diabéticos que existían en el 2014. Considerando que hasta el noventa por ciento de pacientes que tienen diabetes mellitus tipo 2, es muy probable que ellos tengan síndrome metabólico. Existen diferentes instituciones mundiales que indican acerca de este síndrome, entre ellas la OMS, Grupo de Estudio de Colesterol de los EE. UU., Grupo de Estudio del Síndrome Metabólico de México, Asociación Americana del Corazón, Federación Internacional de Diabetes, cada una con un conocimiento establecido pero con ciertas diferencias, es decir, no hay un estándar de conocimiento para este síndrome. En vista de que es un problema donde no existe conocimiento estándar, se propone un algoritmo genético para reunir, optimizar y generar un conocimiento asociado al síndrome metabólico. De tal manera que se elige una población inicial de cromosomas conocimientos, se pregunta por el máximo número de generaciones para finalizar o continuar, se halla la función de aptitud (fitness) de cada cromosoma y aleatoriamente, usando reglas de ruleta o ranking, se selecciona dos cromosomas padres para aplicar crossover, mutación y generar hijos (cromosomas), hasta que el número de hijos sea mayor que la población inicial. Luego, se selecciona la nueva población de mayor fitness para la siguiente generación. Se repite el proceso para verificar si llegó al total del máximo número de generaciones. Cuando alcance el máximo número de generaciones, se habrá llegado al final y se entregará el cromosoma conocimiento. Este es el conjunto de reglas que mejor se adapte para simular un buen criterio de diagnóstico presuntivo del síndrome metabólico. Se realizó las pruebas numéricas con cien historias clínicas hasta quinientas generaciones, alcanzando un fitness de 79%.Tesi

Reconocimiento del síndrome metabólico mediante el diseño de un sistema experto basado en redes neuronales en una población del Hospital Hipólito Unanue

Diseña un sistema experto para reconocer el síndrome metabólico basado en redes neuronales, de tal manera que permita identificar los pacientes con síndrome metabólico (SM). Para ello revisa e identifica los criterios de diagnóstico de las organizaciones mundiales en la identificación del SM y el algoritmo back propagation para el entrenamiento de la red neuronal.Tesi

Evolutionary modular MLP with rough sets and ID3 algorithm for staging of cervical cancer

This article does not have an abstract

Fault detection in communication systems

Orientador: Leonardo de Souza MendesTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de ComputaçãoResumo: O presente trabalho concentra-se na área de detecção de falhas em sistemas de comunicações utilizando como base de informações arquivos de bilhetes contidos nas centrais. Estes arquivos, na grande maioria dos casos, são utilizados pelas operadoras de telecomunicação apenas para fins de cobrança dos usuários. A tese apresenta algoritmos para detecção de falhas e conseqüente geração de alarmes. Os algoritmos são analisados e classificados conforme o seu desempenho. O objetivo central da detecção de falhas com uma maior eficiência é diminuir as deficiências na qualidade de serviço do sistema, reduzindo as perdas econômicas e melhorando a satisfação dos clientes. Indicadores de mercado apontam que de 3% a 15% do faturamento das empresas de Telecom são perdidos por falhas na rede. Os algoritmos buscam maneiras eficientes de detectar falhas nos elementos de um sistema de comunicaçãoAbstract: The present work is focused in the area of fault detection in communications systems using billing tickets archives as base of information. In most of the cases, these archives are used by the telecommunication carriers only for billing purposes. The thesis presents algorithms for fault detection and consequence alarms generation. The algorithms are analyzed and classified according to their performance. The main objective of the fault detection with a bigger efficiency is to diminish the deficiencies in system¿s QoS, reducing economic losses and improving customers satisfaction. Market indicators show that from 3% to 15% of Telecommunication companies gains are lost for system failures. The algorithms search efficient ways to detect faults in the elements of a communication systemDoutoradoTelecomunicações e TelemáticaDoutor em Engenharia Elétric

Psr1p interacts with SUN/sad1p and EB1/mal3p to establish the bipolar spindle

Regular Abstracts - Sunday Poster Presentations: no. 382During mitosis, interpolar microtubules from two spindle pole bodies (SPBs) interdigitate to create an antiparallel microtubule array for accommodating numerous regulatory proteins. Among these proteins, the kinesin-5 cut7p/Eg5 is the key player responsible for sliding apart antiparallel microtubules and thus helps in establishing the bipolar spindle. At the onset of mitosis, two SPBs are adjacent to one another with most microtubules running nearly parallel toward the nuclear envelope, creating an unfavorable microtubule configuration for the kinesin-5 kinesins. Therefore, how the cell organizes the antiparallel microtubule array in the first place at mitotic onset remains enigmatic. Here, we show that a novel protein psrp1p localizes to the SPB and plays a key role in organizing the antiparallel microtubule array. The absence of psr1+ leads to a transient monopolar spindle and massive chromosome loss. Further functional characterization demonstrates that psr1p is recruited to the SPB through interaction with the conserved SUN protein sad1p and that psr1p physically interacts with the conserved microtubule plus tip protein mal3p/EB1. These results suggest a model that psr1p serves as a linking protein between sad1p/SUN and mal3p/EB1 to allow microtubule plus ends to be coupled to the SPBs for organization of an antiparallel microtubule array. Thus, we conclude that psr1p is involved in organizing the antiparallel microtubule array in the first place at mitosis onset by interaction with SUN/sad1p and EB1/mal3p, thereby establishing the bipolar spindle.postprin