The implementation of training algorithms for SVMs on embedded architectures differs significantly from the electronic support of trained SVM systems. This mostly depends on the complexity and the computational intricacies brought about by the optimization process, which implies a Quadratic-Programming problem and usually involves large data sets. This work presents a general approach to the ef...

In many developing countries, electronic medical record (EMR) systems are being implemented in resource-poor settings. Essential to such implementations are software developers with a high technical capacity, a good understanding of medical informatics and an awareness of local clinical needs. This paper describes a training program which has been run in Rwanda to enable local computer science ...

Electronic Health Record has potential to improve patient care by managing patient’s medical and personal information efficiently and effectively. It is easy to maintain patient information electronically compared to paper based records. Many studies have been done in other countries to study the effective use of Electronic Health Record, but a small number of studies exist in Indian situation....

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Communities report a low level of trust in environmental health media coverage. In order to support risk communication objectives, the goals of the research study were to identify whether or not there is a gap in environmental reporting training for journalists, to outline journalists' methods for gathering environmental health news, to observe journalists' attitudes toward environmental health...

A major hurdle in the development of natural language processing (NLP) methods for Electronic Health Records (EHRs) is lack large, annotated datasets. Privacy concerns prevent distribution EHRs, and annotation data known to be costly cumbersome. Synthetic presents a promising solution privacy concern, if synthetic has comparable utility real it preserves patients. However, generation text alone...