The Theory of Biomedical Knowledge Integration(Ⅳ)

The Theory of BioM edical K now ledge Integration(BM K I) is aim ed at exploring the possibility, feasibility, philosophic principle, strategy, m ethodology, etc of the in-tegration of large-scale and heterogeneous biom edical know ledge, including probin…     

Health and medical informatics education for nurses and health service managers

Health and Medical informatics is a discipline encompassing and combining aspects of all health, medical and informatics disciplines. Consequently, the topics to be covered in any educational program can vary considerably both in depth and breadth. Given that such programs need to meet the needs of a very diverse health professional workforce, educators need to develop curricula to suit specific target groups although common topic areas need to be included. This paper presents the state of play regarding nursing informatics education. It discusses informatics education for health service managers primarily in Australia through the use of a case study and compares these with some other similar programs. It then explores some of the issues encountered which are seen as impediments to the progression of health and medical informatics education, the most significant of which is traditional University organisational structures which do not readily facilitate multidisciplinary educational programs.     

The Theory of Bio-Medical Knowledge Integration(Ⅵ)

1 A work independent of the particular works of knowledge engineering in BioMedicine The Theory of BioMedical Knowledge Integration(BM- KI)[1-16] considers neither much upon the aspects of syntactic level of information (such as rule-, frame-, object-, ontolo- gy-, text-, image-, progress- or video-based knowledge forms), which being the hottest spots nowadays in the top- ic of knowledge support in the Medical Informatics, nor upon the development of knowledge or data bases them- selves. …     

The Theory of Bio-Medical Knowledge Integration(Ⅸ)——A venture in methodology for operations on the cognitive segment in HER

This paper pointed out, in the cognitive or semantic processes, the data of EHR reflect their physical nature, which makes mathematics and informatics of less computing capability. Based on this argument a new concept cognitive segment (CS), which is considered with having both physical and formalized quality, was introduced. Centered on CS, the paper presented a series of new basic concepts and their definitions, a set of symbols and expressions, and afterwards explored the types, quasi-formalized expressions, mapping nature, methodology for operations, two distinguished differences, commonsensible background analyses, cognitive dimension regression, supervising function of CSs.     

The cell-centered database

The creation of structured shared data repositories for molecular data in the form of web-accessible databases like GenBank has been a driving force behind the genomic revolution. These resources serve not only to organize and manage molecular data being created by researchers around the globe, but also provide the starting point for data mining operations to uncover interesting information present in the large amount of sequence and structural data. To realize the full impact of the genomic and proteomic efforts of the last decade, similar resources are needed for structural and biochemical complexity in biological systems beyond the molecular level, where proteins and macromolecular complexes are situated within their cellular and tissue environments. In this review, we discuss our efforts in the development of neuroinformatics resources for managing and mining cell level imaging data derived from light and electron microscopy. We describe the main features of our web-accessible database, the Cell Centered Database (CCDB; http://ncmir.ucsd.edu/CCDB/), designed for structural and protein localization information at scales ranging from large expanses of tissue to cellular microdomains with their associated macromolecular constituents. The CCDB was created to make 3D microscopic imaging data available to the scientific community and to serve as a resource for investigating structural and macromolecular complexity of cells and tissues, particularly in the rodent nervous system.     

Evaluating the performance of drug-repurposing technologies

Drug-repurposing technologies are growing in number and maturing. However, comparisons to each other and to reality are hindered because of a lack of consensus with respect to performance evaluation. Such comparability is necessary to determine scientific merit and to ensure that only meaningful predictions from repurposing technologies carry through to further validation and eventual patient use. Here, we review and compare performance evaluation measures for these technologies using version 2 of our shotgun repurposing Computational Analysis of Novel Drug Opportunities (CANDO) platform to illustrate their benefits, drawbacks, and limitations. Understanding and using different performance evaluation metrics ensures robust cross-platform comparability, enabling us to continue to strive toward optimal repurposing by decreasing the time and cost of drug discovery and development.