RESUMO
We performed the multi-year project to collect discharge summary from multiple hospitals and made the big text database to build a common document vector space, and developed various applications. We extracted 243,907 discharge summaries from seven hospitals. There was a difference in term structure and number of terms between the hospitals, however the differences by disease were similar. We built the vector space using TF-IDF method. We performed a cross-match analysis of DPC selection among seven hospitals. About 80% cases were correctly matched. The use of model data of other hospitals reduced selection rate to around 10%; however, integrated model data from all hospitals restored the selection rate.
Assuntos
Mineração de Dados/métodos , Bases de Dados Factuais , Registros Eletrônicos de Saúde/organização & administração , Registro Médico Coordenado/métodos , Sumários de Alta do Paciente Hospitalar/estatística & dados numéricos , Vocabulário Controlado , Confiabilidade dos Dados , Sistemas de Gerenciamento de Base de Dados , Japão , Estudos Multicêntricos como Assunto , Processamento de Linguagem Natural , Integração de SistemasRESUMO
We started a multi-year project to collect discharge summaries from multiple hospitals and create a big text database to build a common document vector space, and develop various applications such as the autoselection of the disease. As the first step, we extracted discharge summary from two hospitals. Using a text mining method, we carried out a DPC selection. There was a difference in term structure and number of terms between the discharge summaries from both hospitals. Nevertheless, the selection rate of the disease is resembled closely.
Assuntos
Codificação Clínica/métodos , Mineração de Dados/métodos , Bases de Dados Factuais , Registros Eletrônicos de Saúde/organização & administração , Registro Médico Coordenado/métodos , Sumários de Alta do Paciente Hospitalar/classificação , Vocabulário Controlado , Disseminação de Informação/métodos , Japão , Processamento de Linguagem Natural , Integração de SistemasRESUMO
The purpose of this study was to examine statistical methods for assessing variance in students' learning attitudes over 2 months. The students' learning attitudes, measured by tutorial assessment sheets, were analyzed quantitatively by multidimensional scaling and cluster analysis. Items on the tutorial assessment sheets were divided throughout the practice period into two axes of speculation (behavior and partnership). At the initial and medium-term stages of this practice, the dispersion of student's consciousness for given assessments was able to determine the quantity. We could then determine the quantity of recognizing the importance of topics to learn, and consciousness for learning was a feature often found at the end of this practice.
