ISO/IEEE 11073 PHD message generation toolkit to standardize healthcare device.

As senior population increases, various healthcare devices and services are developed such as fall detection device, home hypertension management service, and etc. However, to vitalize healthcare devices and services market, standardization for interoperability between device and service must precede. To achieve the standardization goal, the IEEE 11073 Personal Health Device (PHD) group has been standardized many healthcare devices, but until now there are few devices compatible with the PHD standard.

Home healthcare settop-box for senior chronic care using ISO/IEEE 11073 PHD standard.

As the number of seniors with chronic disease increases, the need of home healthcare settop-box is increased to manage their chronic disease in their home environment. Using the home healthcare settop-box, the patients can regularly check their health data, and finally, it can lead the decrease of medical expenses. For the home healthcare settop-box, the most important factor is the standard compatibility, which can interoperate with standard devices of any other companies.

Daily activity recognition system for the elderly using pressure sensors.

As transformed to aging society rapidly, the number of old persons who live alone is drastically increased. Because these old people may have disorder of bodily function, and be suffering from geriatric disease, needs of a health assistance system to make them healthier are strongly increased. In this paper, we propose a daily activity recognition system for an old person using pressure sensors.

Normalization of gene/protein names in biological literatures using Vector-Space Model.

As the number of biological literatures grows exponentially, needs for text mining system are increased. In text mining area, normalization is mapping gene/protein names to a database. It is necessary to combine extracted information from various literatures and to create a database or an ontology using literatures.

BioProber: software system for biomedical relation discovery from PubMed.

The numbers of articles and journals that are published are increasing at a considerable rate, and the published information is growing continuously and fast. Because of this, researches to acquire knowledge automatically have been carried out in the areas of information retrieval, information extraction and text mining. Information retrieval approaches are good for specific topics that the number of related articles is small.

Finding the evidence for protein-protein interactions from PubMed abstracts.

Motivation: Protein-protein interactions play critical roles in biological processes, and many biologists try to find or to predict crucial information concerning these interactions. Before verifying interactions in biological laboratory work, validating them from previous research is necessary. Although many efforts have been made to create databases that store verified information in a structured form, much interaction information still remains as unstructured text.