Toxins as Biological Weapons; a Text-Mining Approach to Biomedical Literature

Aims: Bioterrorism is an invasive attack that can cause disease or death in humans, using viruses, bacteria or toxic substances. In recent years, due to an increase in the number of online articles in databases, much attention has been paid to the application of text mining and information extraction strategies from biomedical articles. The purpose of this study was to evaluate the importance of toxins as biological weapons by searching in medical texts and medical databases.
Information & This text mining and data research study was carried out in 2015-2016. The Carrot 2 software was used to cluster the keyword search results into the network and especially the biomedical databases. When searching for keywords, the search engine was set up on PubMed and the cluster type was based on K-means, and at the end of the results, the results were considered as foam trees.
Findings: The highest neurotoxins record was related to tetrodotoxin with a total record of 18970, The highest cytotoxins record was related to Pertussis toxin with a total record of 14390, The highest dermally hazardous cytotoxins record was related to Zearalenone with a total record of 2656.
Priorities of Bioterrorism Tracking and Biological Warfare Tracking are early detection, public health and control of these agents, So the micro and macro policies should focus on these.