Semisupervised Learning Based Disease-Symptom and Symptom-Therapeutic Substance Relation Extraction from Biomedical Literature

Semisupervised Learning Based Disease-Symptom and Symptom-Therapeutic Substance Relation Extraction from Biomedical Literature

With the rapid growth of biomedical literature, a large amount of knowledge about diseases, symptoms, and therapeutic substances hidden in the literature can be used for drug discovery and disease therapy. In this paper, we present a method of constructing two models for extracting the relations between the disease and symptom and symptom and therapeutic substance from biomedical texts, respect...

Kernel-based learning for biomedical relation extraction

Symptom 3 Age Weight Symptom 2 Disease 2 Disease 1 Symptom 1 Symptom 3 Symptom

An important issue in the use of expert systems is the so-called brittleness problem. Expert systems model only a limited part of the world. While the explicit management of uncertainty in expert systems mitigates the brittleness problem, it is still possible for a system to be used, unwittingly, in ways that the system is not prepared to address. Such situation may be detected by the method of...

Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature

We propose an approach for extracting relations between entities from biomedical literature based solely on shallow linguistic information. We use a combination of kernel functions to integrate two different information sources: (i) the whole sentence where the relation appears, and (ii) the local contexts around the interacting entities. We performed experiments on extracting gene and protein ...

Learning Subgraph Patterns from text for Extracting Disease - Symptom Relationships

To some extent, texts can be represented in the form of graphs, such as dependency graphs in which nodes represent words and edges represent grammatical dependencies between words. Graph representation of texts is an interesting alternative to string representation because it provides an additional level of abstraction over the syntax that is sometime easier to compute. In this paper, we study ...