Mapping biomedical literature with WNT signaling pathway.

Epigenetic studies in cancer pathways have been essential in helping scientists understand the key players in cancer. Gene relationships reported in biomedical literature are valuable to understand the interaction network. Nevertheless, biomedical literature is growing rapidly and the scientific community needs a mechanism to have up-to-date pathways that reflect the new findings from the literature.

Breast cancer treatment, BMI, post-op swelling/lymphoedema.

BACKGROUND: Diagnosis of post-breast cancer lymphoedema is difficult because of inconsistent measurement approaches, measurement reliability and validity, and lymphoedema definition and criterion. AIMS: To examine lymphoedema occurrence using a body mass index (BMI)-adjusted limb volume change (LVC) as a potentially sensitive alternative criterion for assessment and diagnosis of lymphoedema. Secondary aims were to examine the risk of lymphoedema occurrence in relation to post-operative swelling and limb dominance and the cancer-affected side.

Knowledge discovery using Domain-Concept Mining approach for the Behavioral Risk Factor Surveillance System (BRFSS) data.

The publicly available Behavioral Risk Factor Surveillance System (BRFSS) data is the largest telephone survey data set in the world. Often times, the data set is under-utilized due to its size and the difficulties to comprehend and explore the relationships among variables. With a traditional data mining approach, such as association rule (AR) mining, it is still not possible to discover valuable information under the existing computational power.