AIMC Topic: Data Mining

Clear Filters Showing 1531 to 1540 of 1626 articles

[Short Text Classification of EMR Based on Entities and Dependency Parser].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Nowadays, text classification and text mining of Electronic Medical Record (EMR) have become the basis of the Big Data research in biomedical fields. This paper proposes a method using entity dictionaries and dependency parser as the feature to do th...

Identifying Outliers in Data from Patient Record.

Studies in health technology and informatics
It is important for health services to be able to identify potential outliers with minimal effort as part of their daily evaluation of care data from patient record. This study evaluates the suitability of three statistical methods for identifying nu...

Automatic Analysis of Critical Incident Reports: Requirements and Use Cases.

Studies in health technology and informatics
Increasingly, critical incident reports are used as a means to increase patient safety and quality of care. The entire potential of these sources of experiential knowledge remains often unconsidered since retrieval and analysis is difficult and time-...

Extraction of UMLS® Concepts Using Apache cTAKES™ for German Language.

Studies in health technology and informatics
Automatic information extraction of medical concepts and classification with semantic standards from medical reports is useful for standardization and for clinical research. This paper presents an approach for an UMLS concept extraction with a custom...

Datamining with Ontologies.

Methods in molecular biology (Clifton, N.J.)
The use of ontologies has increased rapidly over the past decade and they now provide a key component of most major databases in biology and biomedicine. Consequently, datamining over these databases benefits from considering the specific structure a...

An Integrated Children Disease Prediction Tool within a Special Social Network.

Studies in health technology and informatics
This paper proposes a social network with an integrated children disease prediction system developed by the use of the specially designed Children General Disease Ontology (CGDO). This ontology consists of children diseases and their relationship wit...

Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations.

IEEE/ACM transactions on computational biology and bioinformatics
Gene Ontology (GO) is a structured repository of concepts (GO Terms) that are associated to one or more gene products through a process referred to as annotation. The analysis of annotated data is an important opportunity for bioinformatics. There ar...

Introducing Machine Learning Concepts with WEKA.

Methods in molecular biology (Clifton, N.J.)
This chapter presents an introduction to data mining with machine learning. It gives an overview of various types of machine learning, along with some examples. It explains how to download, install, and run the WEKA data mining toolkit on a simple da...