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Ethiopic maternal care data mining: discovering the factors that affect postnatal care visit in Ethiopia
Conclusions In this study, encouraging results were obtained by employing both decision tree and rule induction techniques. The rules generated by J48 and JRip algorithms are much understandable to explain the outcome easily. Thus, the result obtained highly supportive to construct, evaluate and update advertising and promotional maternal health policies. It is better to create a generic model with more coverage in terms of economic, demographic, social and genetic factors so as to integrate the result with knowledge based system. (Source: Health Information Science and Systems)
Source: Health Information Science and Systems - May 22, 2016 Category: Information Technology Source Type: research

A systematic exploration of the micro-blog feature space for teens stress detection
Conclusions Micro-blog platform provides easy and effective channel to detect teenagers’ psychological stress. Involving comments and responses under the tweet supplement the detection and improves the detection accuracy of 16.8 %. (Source: Health Information Science and Systems)
Source: Health Information Science and Systems - April 18, 2016 Category: Information Technology Source Type: research

Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction
Conclusions Our demonstration showed the feasibility of automatically explaining results for any machine learning predictive model without degrading accuracy. (Source: Health Information Science and Systems)
Source: Health Information Science and Systems - March 8, 2016 Category: Information Technology Source Type: research

Erratum to: Usability study of a simplified electroencephalograph as a health-care system
(Source: Health Information Science and Systems)
Source: Health Information Science and Systems - February 16, 2016 Category: Information Technology Source Type: research

A genetic algorithm enabled ensemble for unsupervised medical term extraction from clinical letters
Abstract Despite the rapid global movement towards electronic health records, clinical letters written in unstructured natural languages are still the preferred form of inter-practitioner communication about patients. These letters, when archived over a long period of time, provide invaluable longitudinal clinical details on individual and populations of patients. In this paper we present three unsupervised approaches, sequential pattern mining (PrefixSpan); frequency linguistic based C-Value; and keyphrase extraction from co-occurrence graphs (TextRank), to automatically extract single and multi-word m...
Source: Health Information Science and Systems - December 9, 2015 Category: Information Technology Source Type: research

Usability study of a simplified electroencephalograph as a health-care system
In this study, we verified the usefulness of the simplified electroencephalograph in investigating the mental condition of persons. We present interesting results associated with the setting position of the electrodes, the behavior of brain waves during work, and the appearance of individual differences. Consequently, we predict that this simplified device will be widely used for health diagnosis. (Source: Health Information Science and Systems)
Source: Health Information Science and Systems - November 17, 2015 Category: Information Technology Source Type: research

MLBCD: a machine learning tool for big clinical data
Conclusions By making machine learning accessible to healthcare researchers, MLBCD will open the use of big clinical data and increase the ability to foster biomedical discovery and improve care. (Source: Health Information Science and Systems)
Source: Health Information Science and Systems - September 28, 2015 Category: Information Technology Source Type: research

UnoViS: the MedIT public unobtrusive vital signs database
Abstract While PhysioNet is a large database for standard clinical vital signs measurements, such a database does not exist for unobtrusively measured signals. This inhibits progress in the vital area of signal processing for unobtrusive medical monitoring as not everybody owns the specific measurement systems to acquire signals. Furthermore, if no common database exists, a comparison between different signal processing approaches is not possible. This gap will be closed by our UnoViS database. It contains different recordings in various scenarios ranging from a clinical study to measurements obt...
Source: Health Information Science and Systems - June 2, 2015 Category: Information Technology Source Type: research

eHealth integration and interoperability issues: towards a solution through enterprise architecture
This study proposes an eHealth architectural model that accommodates requirement based on healthcare need, system, implementer, and hardware requirements. The model is adaptable and examines the developer’s and user’s views that systems hold high hopes for their potential to change traditional organizational design, intelligence, and decision-making. (Source: Health Information Science and Systems)
Source: Health Information Science and Systems - May 13, 2015 Category: Information Technology Source Type: research

A platform for leveraging next generation sequencing for routine microbiology and public health use
Abstract Even with the advent of next-generation sequencing (NGS) technologies which have revolutionised the field of bacterial genomics in recent years, a major barrier still exists to the implementation of NGS for routine microbiological use (in public health and clinical microbiology laboratories). Such routine use would make a big difference to investigations of pathogen transmission and prevention/control of (sometimes lethal) infections. The inherent complexity and high frequency of data analyses on very large sets of bacterial DNA sequence data, the ability to ensure data prov...
Source: Health Information Science and Systems - February 24, 2015 Category: Information Technology Source Type: research

Lactococcus garvieae : a small bacteria and a big data world
Conclusions The "Big Data" concepts of high volume, veracity and variety are nowadays part of the research in microbiology associated with the use of multiple methods in the "omic" era. The use of biomedical informatics methods is a requisite necessary to improve the analysis of these data. (Source: Health Information Science and Systems)
Source: Health Information Science and Systems - February 24, 2015 Category: Information Technology Source Type: research