Investigation into biomedical literature classification using support vector machines

@article{Polavarapu2005InvestigationIB,
  title={Investigation into biomedical literature classification using support vector machines},
  author={Nalini Polavarapu and Shamkant B. Navathe and Ramprasad Ramnarayanan and Abrar ul Haque and Saurav Sahay and Ying Liu},
  journal={2005 IEEE Computational Systems Bioinformatics Conference (CSB'05)},
  year={2005},
  pages={366-374}
}
Specific topic search in the PubMed Database, one of the most important information resources for scientific community, presents a big challenge to the users. The researcher typically formulates boolean queries followed by scanning the retrieved records for relevance, which is very time consuming and error prone. We applied Support Vector Machines (SVM) for automatic retrieval of PubMed articles related to Human genome epidemiological research at CDC (Center for disease Control and Prevention… CONTINUE READING