Biomedical research is now generating large amounts of data, ranging from clinical test results to microarray gene expression profiles. The scale and complexity of these datasets give rise to substantial challenges in data management and analysis. It is highly desirable that data warehousing and online analytical processing technologies can be applied to biomedical data integration and mining. ...

Biomedical named entity recognition (NER) is a difficult problem in biomedical information processing due to the widespread ambiguity of terms out of context and extensive lexical variations. This paper presents a two-phase biomedical NER consisting of term boundary detection and semantic labeling. By dividing the problem, we can adopt an effective model for each process. In our study, we use t...

In two studies the role of biomedical knowledge in the diagnosis of clinical cases was explored. Experiment 1 demonstrated a decrease in the use of biomedical knowledge with increasing expertise. This result appeared to be at variance with some findings reported in the literature (e.g., Lesgold. 1934). but supported those of others (e.g., Patel, Evans, & Groen, 1989). In Experiment 2, three pos...

Biostatisticians apply statistical methods to solve problems in the biological sciences. Successful practioners of biostatistics have advanced technical knowledge, are skilled communicators, and can seamlesslessly integrate with interdisciplinary scientific teams. Despite breadth skills required for success this field, most education programs place heavier emphasis on development than necessary...

Biomedical images are used for capturing the diagnosis process and to examine present condition of organs or tissues. image processing concepts identical biomedical signal processing, which includes investigation, improvement, exhibition gathered using x-ray, ultrasound, MRI, etc. At same time, cervical cancer becomes a major reason increased women's mortality rate. But is an identified at earl...

Views about correct ways of obtaining knowledge develop from socially constructed tenets and beliefs. The dominant beliefs about how health research should be conducted are derived from the biomedical model of human health. The beliefs are maintained by traditions developed in support of the orthodox model and by power relationships. This paper examines the impact of the orthodox views of the b...