Extracting Metadata from Biological Experimental Data.
ABSTRACT The process of automatically extracting metadata from an experiment's dataset is an important stage in efficiently integrating this dataset with data available in public bioinformatics data sources. Metadata extracted from the experiment's dataset can be stored in databases and used to verify data extracted from other experiments' datasets. Moreover, the biologist can keep track of the dataset so that it can be easily retrieved next time. The extracted metadata can be mined to discover useful knowledge as well as integrated with other information using domain ontology to reveal hidden relationships. The experiment's dataset may contain several kinds of metadata that can be used to add semantic value to linked data. This paper describes an approach for extracting metadata from an experiment's dataset. This system has been used in a preliminary investigation of aging across species
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ABSTRACT: This research paper discusses the concept of M-data with reference to health care sector. Thereafter the concept of M-information is introduced including definitions, examples, nature, uses and extraction techniques. M-information can be extracted using algorithms, artificial neural networks, heuristics, data models, decision support systems, models etc. But this current paper is based on a CASE study that utilizes Queuing model. This leads to conceptual information that is represented as a series of production rules (IF…..THEN). These rules can be used to validate the concept extracted from the underlying Decision Support model.. INTRODUCTION: A hospital information system (HIS) also called clinical information system (CIS) is a comprehensive, Integrated, computer-assisted systems designed to store, manipulate and retrieve information concerned with the administrative and clinical aspects of providing medical services within the hospital. This encompasses paper-based information processing as well as data processing machines.The aim of an HIS is to achieve the best possible support of patient care and administration by electronic data processing. An electronic medical record (EMR) is a medical record in digital format. Many physicians currently have computerized practice management systems that can be used in conjunction with health information exchange (HIE), allowing for first steps in sharing patient information (lab results, public health reporting) which are necessary for timely, patient-centered and portable care.