摘要
Toward the goal of understanding the human brain function, we have developed a web-based Human Brain Functional Mapping Knowledge Base (HBFMKB) system to mining human brain-function association model from vast Medline abstracts. Since nomenclature and relationships among cognitive functions have no consensus yet, we use rule-based natural language processing methods to extract behavioral task and cognitive function and do n-gram approximate concept mapping by the Unified Medical Language system (UMLS) knowledge source. The HBFMKB system has an automatic PubMed MEDLINE download and import system, name entity extraction system and interactive visualization system. In summary, the HBFMKB system helps scientists to get digest knowledge before design experiments and compare their results with current literature.
| 原文 | English |
|---|---|
| 頁(從 - 到) | 1188-1191 |
| 頁數 | 4 |
| 期刊 | Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference |
| 出版狀態 | Published - 2007 |
All Science Journal Classification (ASJC) codes
- 訊號處理
- 生物醫學工程
- 電腦視覺和模式識別
- 健康資訊學
指紋
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